TypeName FilesAddedSizeDLs
Stanford CS229 - Machine Learning - Andrew Ng 20 2015-04-24 4.21GB 14,38783+ 2
flyingthings3d__frames_finalpass.tar 1 2018-11-27 45.21GB 1676+ 2
A Local Greedy Scheduling Scheme with Provable Performance Guarantee 1 2015-01-19 401.86kB 100 1
Second-Order Consensus for Multiagent Systems With Directed Topologies and Nonlinear Dynamics 1 2015-11-29 326.66kB 2 1
OP-ELM: Optimally Pruned Extreme Learning Machine 1 2015-11-29 265.73kB 6 1
flyingthings3d__disparity.tar.bz2 1 2018-11-27 93.21GB 2023+ 1
flyingthings3d__optical_flow.tar.bz2 1 2018-11-27 332.94GB 433+ 1
FlyingThings3D_subset_image_clean.tar.bz2 1 2018-11-29 37.52GB 451+ 1
Static Prediction Games for Adversarial Learning Problems 1 2014-04-28 619.68kB 45 0
Large-Sample Learning of Bayesian Networks is NP-Hard 1 2014-04-28 342.07kB 702+ 0
Efficient Accelerometer-based Event Detector in Wireless Sensor Networks 1 2014-02-01 516.71kB 1,6364+ 0
Twitter Data - NIPS 2012 1 2014-04-06 22.34MB 6,85715+ 0
Learning Precise Timing with LSTM Recurrent Networks 1 2014-04-28 341.85kB 601+ 0
Maximum Entropy Discrimination Markov Networks 1 2014-04-28 593.20kB 31 0
Kernel Analysis of Deep Networks 1 2014-04-28 762.62kB 84 0
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks 1 2014-04-28 252.23kB 331+ 0
Entropy Inference and the James-Stein Estimator, with Application to Nonlinear Gene Association Networks 1 2014-04-28 147.29kB 361+ 0
Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks 1 2014-04-28 120.69kB 381+ 0
Asymptotic Model Selection for Naive Bayesian Networks 1 2014-04-28 1.08MB 34 0
Incorporating Functional Knowledge in Neural Networks 1 2014-04-28 181.14kB 501+ 0