Papers
4,122 papers found
Analysis of a Random Forests Model
Gérard Biau
An Improved GLMNET for L1-regularized Logistic Regression
Guo-Xun Yuan, Chia-Hua Ho, Chih-Jen Lin
An Introduction to Artificial Prediction Markets for Classification
Adrian Barbu, Nathan Lay
A Primal-Dual Convergence Analysis of Boosting
Matus Telgarsky
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss
José Hernández-Orallo, Peter Flach, Cèsar Ferri
Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets
Kay H. Brodersen, Christoph Mathys, Justin R. Chumbley et al.
Bounding the Probability of Error for High Precision Optical Character Recognition
Gary B. Huang, Andrew Kae, Carl Doersch et al.
Breaking the Curse of Kernelization: Budgeted Stochastic Gradient Descent for Large-Scale SVM Training
Zhuang Wang, Koby Crammer, Slobodan Vucetic
Causal Bounds and Observable Constraints for Non-deterministic Models
Roland R. Ramsahai
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs
Alain Hauser, Peter Bühlmann
Coherence Functions with Applications in Large-Margin Classification Methods
Zhihua Zhang, Dehua Liu, Guang Dai et al.
Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
Gavin Brown, Adam Pocock, Ming-Jie Zhao et al.
Confidence-Weighted Linear Classification for Text Categorization
Koby Crammer, Mark Dredze, Fernando Pereira
Consistent Model Selection Criteria on High Dimensions
Yongdai Kim, Sunghoon Kwon, Hosik Choi
DEAP: Evolutionary Algorithms Made Easy
Félix-Antoine Fortin, François-Michel De Rainville, Marc-André Gardner et al.
Discriminative Hierarchical Part-based Models for Human Parsing and Action Recognition
Yang Wang, Duan Tran, Zicheng Liao et al.
Distance Metric Learning with Eigenvalue Optimization
Yiming Ying, Peng Li
Dynamic Policy Programming
Mohammad Gheshlaghi Azar, Vicenç Gómez, Hilbert J. Kappen
Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices
Aharon Ben-Tal, Sahely Bhadra, Chiranjib Bhattacharyya et al.
Eliminating Spammers and Ranking Annotators for Crowdsourced Labeling Tasks
Vikas C. Raykar, Shipeng Yu
Entropy Search for Information-Efficient Global Optimization
Philipp Hennig, Christian J. Schuler
EP-GIG Priors and Applications in Bayesian Sparse Learning
Zhihua Zhang, Shusen Wang, Dehua Liu et al.