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Academic Torrents
Aug 11, 2020 Cohen, JP; Ding, W; Sable, J; Li, R; Stepinski, T
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This ongoing outreach project uniquely combines the data, systems, and resources of four existing NASA funded research projects on Mars robotic navigation (MER Participating Scientist project and ExoMars Pan- Cam project), intelligent Mars data processing (AISR Crater Detection project), and Lunar mapping (LRO Par- ticipating Scientist project). The project aims to stimu- late the public excitement about Mars and Lunar science and exploration and to enrich the public with expertise developed at...
Source: http://academictorrents.com/details/b0700675b5b7756ba6243420a9db09380a5d27b2
Academic Torrents
Aug 11, 2020 Cheung, Ronald S; Cohen, Joseph Paul; Lo, Henry Z; Elia, Fabio; Carrillo-Marquez, Veronica
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There has been a heightened interest among U.S.government agencies to fund cybersecurity workforce development. These efforts include offering universities funding forstudent scholarships, funding for building capacity in cybersecurity education, as well as sponsoring cybersecurity competitions, games, and outreach programs. This paper examines the effectiveness of cybersecurity competitions in educating students.Our study shows that though competitions do pique students interest, the...
Source: http://academictorrents.com/details/30ec3bb79d95e4af3b92315a5a073fb10ec8a87d
Academic Torrents
Aug 11, 2020 Joseph Paul Cohen; Wei Ding
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Recent approaches to crater detection have been inspired by face detection's use of gray-scale texture features. Using gray-scale texture features for supervised machine learning crater detection algorithms provides better classification of craters in planetary images than previous methods. When using Haar features it is typical to generate thousands of numerical values from each candidate crater image. This magnitude of image features to extract and consider can spell disaster when the...
Source: http://academictorrents.com/details/8ae530c0c1466ba8feee9914236cc900ad2f708e
Academic Torrents
Aug 11, 2020 Cohen, Joseph Paul; Liu, Siyi; Ding, Wei
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Using gray-scale texture features has recently become a new trend in supervised machine learning crater detection algorithms. To provide better classification of craters in planetary images, feature subset selection is used to reduce irrelevant and redundant features. Feature selection is known to be NP-hard. To provide an efficient suboptimal solution, three genetic algorithms are proposed to use greedy selection, weighted random selection, and simulated annealing to distinguish discriminate...
Topics: bayesian classifier, crater detection, genetic algorithms, machine learning
Source: http://academictorrents.com/details/cb1655a57dd24345c9ea7a43c5ec09e03c7a0979
Academic Torrents
Aug 11, 2020 Liu, Siyi; Ding, Wei; Cohen, Joseph Paul; Simovici, Dan; Stepinski, Tomasz
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Counting craters is a fundamental task of planetary sci-ence because it provides the only tool for measuring relativeages of planetary surfaces. However, advances in surveyingcraters present in data gathered by planetary probes havenot kept up with advances in data collection. One chal-lenge of auto-detecting craters in images is to identify an images features that discriminate it between craters andother surface objects. The problem of optimal feature se-lection is known to be NP-hard and the...
Source: http://academictorrents.com/details/37499de2b944dacc88cd295d3f9631670bd6abe6
Academic Torrents
Aug 11, 2020 Allen B. Downey
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Think Bayes is an introduction to Bayesian statistics using computational methods. The premise of this book, and the other books in the Think X series, is that if you know how to program, you can use that skill to learn other topics. Most books on Bayesian statistics use mathematical notation and present ideas in terms of mathematical concepts like calculus. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an...
Source: http://academictorrents.com/details/7d6d7b7fdecaeb0652cfb9449d25976bf56adac4
Academic Torrents
Aug 11, 2020 German Rodriguez
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The purpose of these notes, an update of my 1992 handout Introducing S-Plus, is to provide a quick introduction to R, particularly as a tool for fitting linear and generalized linear models. Additional examples may be found in the R Logs section of my GLM course. ##1. Introduction R is a powerful environment for statistical computing which runs on several platforms. These notes are written specially for users running the Windows version, but most of the material applies to the Mac and Linux...
Topics: paper, book
Source: http://academictorrents.com/details/d430724be7ac00f4b5e7f0d956f8411ef9b67dbe
Academic Torrents
Aug 11, 2020 Smidla, József; Simon, Gyula
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In this paper, an adaptive, autocovariance-based event detection algorithm is proposed, which can be used with micro-electro-mechanical systems (MEMS) accelerometer sensors to build inexpensive and power efficient event detectors. The algorithm works well with low signal-to-noise ratio input signals, and its computational complexity is very low, allowing its utilization on inexpensive low-end embedded sensor devices. The proposed algorithm decreases its energy consumption by lowering its duty...
Source: http://academictorrents.com/details/4bee3aad417a4670079da4daf129d5e4708f61d4
Academic Torrents
Aug 11, 2020 D. Kjurkchieva; D. Dimitrov; A. Vladev; V. Yotov
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We present a new solution of the direct problem of planet transits based on transformation of double integrals to single ones. On the basis of our direct problem solution we created the code TAC-maker for rapid and interactive calculation of synthetic planet transits by numerical computations of the integrals. The validation of our approach was made by comparison with the results of the wide-spread Mandel & Agol (2002) method for the cases of linear, quadratic and squared root...
Source: http://academictorrents.com/details/bbf1c32bd69459b93742eb691bf11fc8961e6db7
Academic Torrents
Aug 11, 2020 J. Smidla; Gy. Simon
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In this paper an autocovariance-based event detector algorithm is proposed. The algorithm is able to detect events even if the measurements have poor signal-to-noise ratio, and its performance is independent of the characteristic of the input signal. An efficient implementation of the algorithm is also proposed, which allows the utilization of the algorithm on low-end devices, e.g. in wireless sensor networking nodes. The performance of the algorithm has been tested and compared to a...
Source: http://academictorrents.com/details/b0fc43009de3d358bfbd8a14ba99ca320b356bc5
Academic Torrents
Aug 11, 2020 Cohen, J.; Wei Ding; Boisvert, D.
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This paper presents an open source platform Throw [1] that is intended to be used for a one day event to increase interest in computer science as well as equip students with tools for self exploration. It is based on three years of hosting a one day event aimed at introducing computer science to 5-8th grade students. One major challenge in computer science education is fostering a commitment to learn, that is powerful and engaging enough for a student to be able to utilize learned skills to...
Topics: computer aided instruction, computer science education, public domain software, Throw open source...
Source: http://academictorrents.com/details/dce77c0199e3a98f81caa7bd204f8efade63732a
Academic Torrents
Aug 11, 2020 Theja Tulab; hula; Cynthia Rudin
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Source: http://academictorrents.com/details/15efe86562dcb326f78d160eb9bd2526a5e4a431
Academic Torrents
Aug 11, 2020 Simon Chabot
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La modélisation mathématique des mouvements d'un fluide a été de tous temps un sujet de recherche actif. Quels sont aujourd'hui les moyens utilisés pour rendre numériquement compte de ces mouvements ? Quels sont les coûts de calculs et comment peut on les améliorer ? Tant de questions auxquelles ce document tente de répondre en présentant quelques méthodes mathématiques utilisées par l'animation et le génie civil.
Topics: vague, waterwaves, fluid mechanics, Smoothed Particle Hydrodynamic, shallow water
Source: http://academictorrents.com/details/9a225c6da528dcfb80656be75bdeae2cdafd7c5b
Academic Torrents
Aug 11, 2020 Pinghua Gong; Jieping Ye; Changshui Zhang
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Source: http://academictorrents.com/details/3e14552bdb167b2b7a22de8cb7dd0c96de0097f7
Academic Torrents
Aug 11, 2020 Julien Mairal; Bin Yu
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Source: http://academictorrents.com/details/b863eefbdcc6404f3be91c3d095435a1b96f5b70
Academic Torrents
Aug 11, 2020 Sunny King, Scott Nadal
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A peer-to-peer crypto-currency design derived from Satoshi Nakamoto's Bitcoin. Proof-of-stake replaces proof-of-work to provide most of the network security. Under this hybrid design proof-of-work mainly provides initial minting and is largely non-essential in the long run. Security level of the network is not dependent on energy consumption in the long term thus providing an energy efficient and more cost-competitive peer-to-peer crypto-currency. Proof-of-stake is based on coin age and...
Source: http://academictorrents.com/details/0bc8878760a3105617da3fa9ba6b97cffad6c24f
Academic Torrents
Aug 11, 2020 Satoshi Nakamoto
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A purely peer-to-peer version of electronic cash would allow online payments to be sent directly from one party to another without going through a financial institution. Digital signatures provide part of the solution, but the main benefits are lost if a trusted third party is still required to prevent double-spending. We propose a solution to the double-spending problem using a peer-to-peer network. The network timestamps transactions by hashing them into an ongoing chain of hash-based...
Source: http://academictorrents.com/details/8c271f4d2e92a3449e2d1bde633cd49f64af888f
Academic Torrents
Aug 11, 2020 Sunny King
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A new type of proof-of-work based on searching for prime numbers is introduced in peer-to-peer cryptocurrency designs. Three types of prime chains known as Cunningham chain of first kind, Cunningham chain of second kind and bi-twin chain are qualified as proof-of-work. Prime chain is linked to block hash to preserve the security property of Nakamoto's Bitcoin, while a continuous difficulty evaluation scheme is designed to allow prime chain to act as adjustable-difficulty proof-of-work in a...
Source: http://academictorrents.com/details/d0f9accaec8ac9d538fdf9d675105ae1392ea32b
Academic Torrents
Aug 11, 2020 Alex Heid
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This paper will go over the technical, economic, and social impact of cryptocurrencies such as Bitcoin and Litecoin. This document will go into a comprehensive level of detail about cryptocurrency technologies and protocols, as this is required to familiarize the reader with the principles behind the rapidly emerging open source economic ecosystem. Furthermore, emerging attack vectors of cryptocurrencies will be discussed, such as custom malware campaigns and targeted exploitation.
Source: http://academictorrents.com/details/daaa86689c42e78c4111b74984d5036a426f6cf6
Academic Torrents
Aug 11, 2020 Chao Zhang; Dacheng Tao
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Source: http://academictorrents.com/details/6c4bc5c78e4ef49baa1f149efc17be6043c6ec80
Academic Torrents
Aug 11, 2020 Chong Zhang; Yufeng Liu
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Source: http://academictorrents.com/details/f974c362bb4dd7389d57ca440ce30cbe6d4c1da2
Academic Torrents
Aug 11, 2020 Matthew J. Urry; Peter Sollich
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Source: http://academictorrents.com/details/ace4c246b027b1f9b6e8c1754308eb1cda6c898e
Academic Torrents
Aug 11, 2020 Wei Wu; Zhengdong Lu; Hang Li
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Source: http://academictorrents.com/details/afbdf200cac57471377e6b8398f4ce71159f7425
Academic Torrents
Aug 11, 2020 J.D. Bruce
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Almost all P2P crypto-currencies prevent double spending and similar such attacks with a bulky "blockchain" scheme, and the ones which do not typically use some sort of pseudo-centralized solution to manage the transactions. Here I propose a purely P2P crypto-currency scheme with a finite blockchain, dubbed the "mini-blockchain". Each time a new block is solved the oldest block is trimmed from the end of the mini-blockchain so that it always has the same number of blocks. It...
Source: http://academictorrents.com/details/4cc072da6bd32eedfec13e235a22ea4054e50554
Academic Torrents
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Source: http://academictorrents.com/details/c2d3ecf0482fc560115374b49811ec987841f1f0
Academic Torrents
Aug 11, 2020 Ansaf Salleb-Aouissi; Christel Vrain; Cyril Nortet; Xiangrong Kong; Vivek Rathod; Daniel Cassard
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Source: http://academictorrents.com/details/e2d6ac42e4b4e038afc01aab5c8419bf75f3f85a
Academic Torrents
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Source: http://academictorrents.com/details/78f800a01c5a4f423e355d96868684c18ca6bd37
Academic Torrents
Aug 11, 2020 Edward McFowl; III; Skyler Speakman; Daniel B. Neill
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Source: http://academictorrents.com/details/d0b31ee6d5931a855f800299083e6e7aa3941f17
Academic Torrents
Aug 11, 2020 Wendelin Bhmer; Steffen Grnewlder; Yun Shen; Marek Musial; Klaus Obermayer
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Source: http://academictorrents.com/details/84509a4a078fa60891ac06266b40a5e462e5aa21
Academic Torrents
Aug 11, 2020 Anil Maheshwari; Michiel Smid
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This is a free textbook for an undergraduate course on the Theory of Computation, which we have been teaching at Carleton University since 2002. Until the 2011/2012 academic year, this course was offered as a second-year course (COMP 2805) and was compulsory for all Computer Science students. Starting with the 2012/2013 academic year, the course has been downgraded to a third-year optional course (COMP 3803). We have been developing this book since we started teaching this course. Currently, we...
Source: http://academictorrents.com/details/d746df46e76fcfdb8e0b682a5e47ed1a776db7db
Academic Torrents
Aug 11, 2020 Nicholas Ruozzi; Sekhar Tatikonda
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Source: http://academictorrents.com/details/264e2cd52f86ee907b6b4f3d433b2c5e21cb6c9c
Academic Torrents
Aug 11, 2020 Nicol Cesa-Bianchi; Claudio Gentile; Fabio Vitale; Giovanni Zappella
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Source: http://academictorrents.com/details/66ed1109aa9929c9eb1c24516b32955b7150b2f3
Academic Torrents
Aug 11, 2020 Paramveer S. Dhillon; Dean P. Foster; Sham M. Kakade; Lyle H. Ungar
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Source: http://academictorrents.com/details/6c43ba1182eb57633acdfd0ff0dff42d96d34abc
Academic Torrents
Aug 11, 2020 Wei Sun; Junhui Wang; Yixin Fang
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Source: http://academictorrents.com/details/56b0927f2f3ac7afcd7813e81edcd542582667f2
Academic Torrents
Aug 11, 2020 Vinod K. Valsalam; Risto Miikkulainen
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Source: http://academictorrents.com/details/681dd00655f3a45ecf9a46a8bf5f3602bfe9292a
Academic Torrents
Aug 11, 2020 Herv Frezza-Buet; Matthieu Geist
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Source: http://academictorrents.com/details/8e8a341c6948e0f1e4f70fd0386aa5a408bdb07f
Academic Torrents
Aug 11, 2020 Karthik H. Shankar; Marc W. Howard
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Source: http://academictorrents.com/details/d9fd9cf32c98c6065ee9f1bcfcefe1eb31bd0153
Academic Torrents
Aug 11, 2020 Sohail Bahmani; Bhiksha Raj; Petros T. Boufounos
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Source: http://academictorrents.com/details/3586e9c854fd5ee46fee11267c739f656e5cbafc
Academic Torrents
Aug 11, 2020 Indraneel Mukherjee; Robert E. Schapire
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Source: http://academictorrents.com/details/345fadbd720a0c19cceae72cd7bcbf3097e4709d
Academic Torrents
Aug 11, 2020 Pierre Alquier; Grard Biau
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Source: http://academictorrents.com/details/61059f50d1a161c60b8c1ea44ad0e8d3090bdd1b
Academic Torrents
Aug 11, 2020 Kris De Brabanter; Jos De Brabanter; Bart De Moor; Irne Gijbels
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Source: http://academictorrents.com/details/229007c16859c349db75d9291007dc6d9164a3d2
Academic Torrents
Aug 11, 2020 Ran Gilad-Bachrach; Christopher J.C. Burges
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Source: http://academictorrents.com/details/214e8915b8577100002a71fa3d47a86b1a029909
Academic Torrents
Aug 11, 2020 Naftali Harris; Mathias Drton
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Academic Torrents
Aug 11, 2020 Alon Gonen; Sivan Sabato; Shai Shalev-Shwartz
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Academic Torrents
Aug 11, 2020 Sivan Sabato; Nathan Srebro; Naftali Tishby
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Academic Torrents
Aug 11, 2020 Matthew J. Johnson; Alan S. Willsky
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Academic Torrents
Aug 11, 2020 Niya Wang; Fan Meng; Li Chen; Subha Madhavan; Robert Clarke; Eric P. Hoffman; Jianhua Xuan; Yue Wang
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Source: http://academictorrents.com/details/84f3cc29df08fb56897e273e4bb9ddb88826ddcd
Academic Torrents
Aug 11, 2020 Wei Pan; Xiaotong Shen; Binghui Liu
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Academic Torrents
Aug 11, 2020 Arto Klami; Seppo Virtanen; Samuel Kaski
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Source: http://academictorrents.com/details/eee108e08076ee344aa51cdfc9734c797120602e
Academic Torrents
Aug 11, 2020 Andrea Tacchetti; Pavan K. Mallapragada; Matteo Santoro; Lorenzo Rosasco
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Academic Torrents
Aug 11, 2020 Eva L. Dyer; Aswin C. Sankaranarayanan; Richard G. Baraniuk
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Academic Torrents
Aug 11, 2020 Pekka Parviainen; Mikko Koivisto
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Academic Torrents
Aug 11, 2020 Eugene Tuv; Alex; er Borisov; George Runger; Kari Torkkola
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Academic Torrents
Aug 11, 2020 Ting Hu; Jun Fan; Qiang Wu; Ding-Xuan Zhou
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Aug 11, 2020 Jun Wang; Tony Jebara; Shih-Fu Chang
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Academic Torrents
Aug 11, 2020 Dan Stowell; Mark D. Plumbley
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Academic Torrents
Aug 11, 2020 Indraneel Mukherjee; Cynthia Rudin; Robert E. Schapire
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Aug 11, 2020 Lorenzo Rosasco; Silvia Villa; Sofia Mosci; Matteo Santoro; Aless; ro Verri
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Aug 11, 2020 Tony Cai; Wen-Xin Zhou
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Aug 11, 2020 Fang Han; Tuo Zhao; Han Liu
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Aug 11, 2020 Joshua M. Lewis; Virginia R. de Sa; Laurens van der Maaten
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Aug 11, 2020 Yu-Feng Li; Ivor W. Tsang; James T. Kwok; Zhi-Hua Zhou
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Aug 11, 2020 Manavender R. Malgireddy; Ifeoma Nwogu; Venu Govindaraju
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Aug 11, 2020 Philmon Brakel; Dirk Stroob; t; Benjamin Schrauwen
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Aug 11, 2020 Ryan R. Curtin; James R. Cline; N. P. Slagle; William B. March; Parikshit Ram; Nishant A. Mehta; Alex; er G. Gray
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Aug 11, 2020 Krzysztof Chalupka; Christopher K. I. Williams; Iain Murray
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Source: http://academictorrents.com/details/d3fa0705e62cc295e0d843df0907221f026ef597
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Aug 11, 2020 Arnaud Guyader; Nick Hengartner
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Aug 11, 2020 Ery Arias-Castro; Bruno Pelletier
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Aug 11, 2020 Janez Demar; Toma Curk; Ale Erjavec; rt Gorup; Toma Hoevar; Mitar Milutinovi; Martin Moina; Matija Polajnar; Marko Toplak; Ane Stari; Miha tajdohar; Lan Umek; Lan agar; Jure bontar; Marinka itnik; Bla Zupan
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Aug 11, 2020 Joachim Niehren; Jrme Champavre; Aurlien Lemay; Rmi Gilleron
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Aug 11, 2020 Aapo Hyvrinen; Stephen M. Smith
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Aug 11, 2020 Takafumi Kanamori; Akiko Takeda; Taiji Suzuki
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Academic Torrents
Aug 11, 2020 Vinayak Rao; Yee Whye Teh
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Academic Torrents
Aug 11, 2020 Matthew D. Hoffman; David M. Blei; Chong Wang; John Paisley
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Aug 11, 2020 Rob Hall; Aless; ro Rinaldo; Larry Wasserman
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Academic Torrents
Aug 11, 2020 Georgios Sigletos; Georgios Paliouras; Constantine D. Spyropoulos; Michalis Hatzopoulos
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Academic Torrents
Aug 11, 2020 Stphan Clmenon; Marine Depecker; Nicolas Vayatis
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Aug 11, 2020 Jun Wan; Qiuqi Ruan; Wei Li; Shuang Deng
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Aug 11, 2020 Reza Bosagh Zadeh; Ashish Goel
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Aug 11, 2020 Kenji Fukumizu; Le Song; Arthur Gretton
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Academic Torrents
Aug 11, 2020 Tony Cai; Jianqing Fan; Tiefeng Jiang
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Aug 11, 2020 Takafumi Kanamori; Shohei Hido; Masashi Sugiyama
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Aug 11, 2020 Markus Thom; Gnther Palm
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Academic Torrents
Aug 11, 2020 Sbastien Bubeck; Damien Ernst; Aurlien Garivier
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Aug 11, 2020 Cynthia Rudin; Benjamin Letham; David Madigan
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Aug 11, 2020 Anastasios Roussos; Stavros Theodorakis; Vassilis Pitsikalis; Petros Maragos
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Aug 11, 2020 Leslie Foster; Alex Waagen; Nabeela Aijaz; Michael Hurley; Apolonio Luis; Joel Rinsky; Ch; rika Satyavolu; Michael J. Way; Paul Gazis; Ashok Srivastava
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Aug 11, 2020 Nathan Parrish; Hyrum S. Anderson; Maya R. Gupta; Dun Yu Hsiao
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Aug 11, 2020 Nemanja Djuric; Liang Lan; Slobodan Vucetic; Zhuang Wang
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Aug 11, 2020 Antoine Salomon; Jean-Yves Audibert; Issam El Alaoui
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Aug 11, 2020 Sean Ryan Fanello; Ilaria Gori; Giorgio Metta; Francesca Odone
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Academic Torrents
Aug 11, 2020 Lauren A. Hannah; David B. Dunson
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Aug 11, 2020 Nayyar A. Zaidi; Jess Cerquides; Mark J. Carman; Geoffrey I. Webb
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Academic Torrents
Aug 11, 2020 Aleks; rs Slivkins; Filip Radlinski; Sreenivas Gollapudi
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Aug 11, 2020 Han Liu; John Lafferty; Larry Wasserman
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Aug 11, 2020 Manfred Opper; Ulrich Paquet; Ole Winther
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Academic Torrents
Aug 11, 2020 Lisa Hellerstein; Bernard Rosell; Eric Bach; Soumya Ray; David Page
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Aug 11, 2020 Roberto Esposito; Daniele P. Radicioni
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Aug 11, 2020 Alex; er L. Strehl; Lihong Li; Michael L. Littman
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