Papers
172,654 papers found
On the Proper Learning of Axis-Parallel Concepts
Nader H. Bshouty, Lynn Burroughs
On the Rate of Convergence of Regularized Boosting Classifiers
Gilles Blanchard, Gábor Lugosi, Nicolas Vayatis
Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions
Jaakko Särelä, Ricardo Vigário
Path Kernels and Multiplicative Updates
Eiji Takimoto, Manfred K. Warmuth
Preference Elicitation via Theory Refinement
Peter Haddawy, Vu Ha, Angelo Restificar et al.
Query Transformations for Improving the Efficiency of ILP Systems
Vítor Santos Costa, Ashwin Srinivasan, Rui Camacho et al.
Ranking a Random Feature for Variable and Feature Selection
Hervé Stoppiglia, Gérard Dreyfus, Rémi Dubois et al.
Relational Learning as Search in a Critical Region
Marco Botta, Attilio Giordana, Lorenza Saitta et al.
Smooth Boosting and Learning with Malicious Noise
Rocco A. Servedio
Sparseness of Support Vector Machines
Ingo Steinwart
Speedup Learning for Repair-based Search by Identifying Redundant Steps
Shaul Markovitch, Asaf Shatil
Statistical Dynamics of On-line Independent Component Analysis
Gleb Basalyga, Magnus Rattray
Sufficient Dimensionality Reduction
Amir Globerson, Naftali Tishby
Task Clustering and Gating for Bayesian Multitask Learning
Bart Bakker, Tom Heskes
The em Algorithm for Kernel Matrix Completion with Auxiliary Data
Koji Tsuda, Shotaro Akaho, Kiyoshi Asai
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem
Pierre Baldi, Gianluca Pollastri
Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds
Lawrence K. Saul, Sam T. Roweis
Tracking Linear-threshold Concepts with Winnow
Chris Mesterharm
Tree Induction vs. Logistic Regression: A Learning-Curve Analysis
Claudia Perlich, Foster Provost, Jeffrey S. Simonoff
Tree-Structured Neural Decoding
Christian d'Avignon, Donald Geman
Ultraconservative Online Algorithms for Multiclass Problems
Koby Crammer, Yoram Singer
Use of the Zero-Norm with Linear Models and Kernel Methods
Jason Weston, André Elisseeff, Bernhard Schölkopf et al.