Papers
4,122 papers found
On the Size and Recovery of Submatrices of Ones in a Random Binary Matrix
Xing Sun, Andrew B. Nobel
On the Suitable Domain for SVM Training in Image Coding
Gustavo Camps-Valls, Juan Gutiérrez, Gabriel Gómez-Pérez et al.
Optimal Solutions for Sparse Principal Component Analysis
Alexandre d'Aspremont, Francis Bach, Laurent El Ghaoui
Optimization Techniques for Semi-Supervised Support Vector Machines
Olivier Chapelle, Vikas Sindhwani, Sathiya S. Keerthi
Probabilistic Characterization of Random Decision Trees
Amit Dhurandhar, Alin Dobra
Randomized Online PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension
Manfred K. Warmuth, Dima Kuzmin
Ranking Categorical Features Using Generalization Properties
Sivan Sabato, Shai Shalev-Shwartz
Ranking Individuals by Group Comparisons
Tzu-Kuo Huang, Chih-Jen Lin, Ruby C. Weng
Regularization on Graphs with Function-adapted Diffusion Processes
Arthur D. Szlam, Mauro Maggioni, Ronald R. Coifman
Robust Submodular Observation Selection
Andreas Krause, H. Brendan McMahan, Carlos Guestrin et al.
Search for Additive Nonlinear Time Series Causal Models
Tianjiao Chu, Clark Glymour
Shark
Christian Igel, Verena Heidrich-Meisner, Tobias Glasmachers
SimpleMKL
Alain Rakotomamonjy, Francis R. Bach, Stéphane Canu et al.
Stationary Features and Cat Detection
François Fleuret, Donald Geman
Structural Learning of Chain Graphs via Decomposition
Zongming Ma, Xianchao Xie, Zhi Geng
Support Vector Machinery for Infinite Ensemble Learning
Hsuan-Tien Lin, Ling Li
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
Liviu Panait, Karl Tuyls, Sean Luke
Trust Region Newton Method for Logistic Regression
Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi
Universal Multi-Task Kernels
Andrea Caponnetto, Charles A. Micchelli, Massimiliano Pontil et al.
Using Markov Blankets for Causal Structure Learning
Jean-Philippe Pellet, André Elisseeff
Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management
Abraham George, Warren B. Powell, Sanjeev R. Kulkarni
Value Function Based Reinforcement Learning in Changing Markovian Environments
Balázs Csanád Csáji, László Monostori
Visualizing Data using t-SNE
Laurens van der Maaten, Geoffrey Hinton