Papers
Orange: Data Mining Toolbox in Python
Janez Demšar, Tomaž Curk, Aleš Erjavec et al.
The Rate of Convergence of AdaBoost
Indraneel Mukherjee, Cynthia Rudin, Robert E. Schapire
Message-Passing Algorithms for Quadratic Minimization
Nicholas Ruozzi, Sekhar Tatikonda
Gaussian Kullback-Leibler Approximate Inference
Edward Challis, David Barber
Segregating Event Streams and Noise with a Markov Renewal Process Model
Dan Stowell, Mark D. Plumbley
Language-Motivated Approaches to Action Recognition
Manavender R. Malgireddy, Ifeoma Nwogu, Venu Govindaraju
Convex and Scalable Weakly Labeled SVMs
Yu-Feng Li, Ivor W. Tsang, James T. Kwok et al.
Distribution-Dependent Sample Complexity of Large Margin Learning
Sivan Sabato, Nathan Srebro, Naftali Tishby
Construction of Approximation Spaces for Reinforcement Learning
Wendelin Böhmer, Steffen Grünewälder, Yun Shen et al.
Approximating the Permanent with Fractional Belief Propagation
Michael Chertkov, Adam B. Yedidia
Machine Learning with Operational Costs
Theja Tulabandhula, Cynthia Rudin
Alleviating Naive Bayes Attribute Independence Assumption by Attribute Weighting
Nayyar A. Zaidi, Jesús Cerquides, Mark J. Carman et al.
Generalized Spike-and-Slab Priors for Bayesian Group Feature Selection Using Expectation Propagation
Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Pierre Dupont
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty
Wei Pan, Xiaotong Shen, Binghui Liu
Distributions of Angles in Random Packing on Spheres
Tony Cai, Jianqing Fan, Tiefeng Jiang
Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs
Matthew J. Urry, Peter Sollich
On the Convergence of Maximum Variance Unfolding
Ery Arias-Castro, Bruno Pelletier
Similarity-based Clustering by Left-Stochastic Matrix Factorization
Raman Arora, Maya R. Gupta, Amol Kapila et al.
Nonparametric Sparsity and Regularization
Lorenzo Rosasco, Silvia Villa, Sofia Mosci et al.
Dynamic Affine-Invariant Shape-Appearance Handshape Features and Classification in Sign Language Videos
Anastasios Roussos, Stavros Theodorakis, Vassilis Pitsikalis et al.
Dimension Independent Similarity Computation
Reza Bosagh Zadeh, Ashish Goel
Sub-Local Constraint-Based Learning of Bayesian Networks Using A Joint Dependence Criterion
Rami Mahdi, Jason Mezey
Training Energy-Based Models for Time-Series Imputation
Philémon Brakel, Dirk Stroobandt, Benjamin Schrauwen
Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling
Shusen Wang, Zhihua Zhang