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TypeName FilesAddedSizeDLs
A high resolution 7-Tesla resting-state fMRI test-retest dataset with cognitive and physiological measures 1026 2014-09-11 93.51GB 774+ 0
[Coursera] Algorithms Part II 111 2016-09-26 1.93GB 3,28124 1
[Coursera] Algorithms Part I 89 2016-09-26 1.62GB 5,36143 2
[Coursera] Analytic Combinatorics 56 2016-09-26 1.59GB 5958 3
[Coursera] Analysis of Algorithms by Robert Sedgewick (Princeton University) 47 2016-07-14 1.88GB 1,32519 0
MIT 7.012 Introduction to Biology - Fall 2004 35 2016-10-29 10.33GB 39711+ 1
Illinois DOC labeled faces dataset 8 2019-12-05 6.36GB 317 2
The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins 1 2014-04-28 168.45kB 452+ 0
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces (Kernel Machines Section) 1 2014-04-28 675.84kB 502+ 0
Introducing R 1 2014-02-04 820.99kB 3,09510+ 0
Optimization Techniques for Semi-Supervised Support Vector Machines 1 2014-04-28 48.17kB 412+ 0
Multiple-Instance Learning of Real-Valued Data 1 2014-04-28 7.10kB 341+ 0
An Error Bound Based on a Worst Likely Assignment 1 2014-04-28 163.13kB 301+ 0
Value Function Based Reinforcement Learning in Changing Markovian Environments 1 2014-04-28 382.70kB 351+ 0
Kernel Analysis of Deep Networks 1 2014-04-28 762.62kB 841+ 0
Characterizing the Function Space for Bayesian Kernel Models 1 2014-04-28 228.85kB 381+ 0
The Stationary Subspace Analysis Toolbox 1 2014-04-28 70.42kB 301+ 0
Models of Cooperative Teaching and Learning 1 2014-04-28 278.16kB 711+ 0
Margin-based Ranking and an Equivalence between AdaBoost and RankBoost 1 2014-04-28 420.29kB 411+ 0
The Need for Open Source Software in Machine Learning 1 2014-04-28 1.28MB 591+ 0

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