← Core Methods
Machine Learning › Core Methods ›

Classification

15289 directly classified papers

Papers per year

Papers

Sparse Boosting JMLR 2006
Segmental Hidden Markov Models with Random Effects for Waveform Modeling JMLR 2006
Consistency and Convergence Rates of One-Class SVMs and Related Algorithms JMLR 2006
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines JMLR 2006
A Direct Method for Building Sparse Kernel Learning Algorithms JMLR 2006
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis JMLR 2006
Some Discriminant-Based PAC Algorithms JMLR 2006
Active learning for misspecified generalized linear models NIPS 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Fast Discriminative Visual Codebooks using Randomized Clustering Forests NIPS 2006
A new inlier identification scheme for robust estimation problems RSS 2006
Qualitative Hybrid Control of Dynamic Bipedal Walking RSS 2006
Gait Regulation and Feedback on a Robotic Climbing Hexapod RSS 2006
Multiple Instance Learning for Computer Aided Diagnosis NIPS 2006
Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces NIPS 2006
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NIPS 2006
Prediction on a Graph with a Perceptron NIPS 2006
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NIPS 2006
Context Effects in Category Learning: An Investigation of Four Probabilistic Models NIPS 2006
Ordinal Regression by Extended Binary Classification NIPS 2006
Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NIPS 2006
Simplifying Mixture Models through Function Approximation NIPS 2006
Sparse Representation for Signal Classification NIPS 2006
Online Classification for Complex Problems Using Simultaneous Projections NIPS 2006
Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006