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Classification

15,803 papers

Papers per year

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Papers

Subordinate class recognition using relational object models NIPS 2006
Dirichlet-Enhanced Spam Filtering based on Biased Samples NIPS 2006
Part-based Probabilistic Point Matching using Equivalence Constraints NIPS 2006
Optimal Change-Detection and Spiking Neurons NIPS 2006
Temporal dynamics of information content carried by neurons in the primary visual cortex NIPS 2006
Large Margin Multi-channel Analog-to-Digital Conversion with Applications to Neural Prosthesis NIPS 2006
Comparative Gene Prediction using Conditional Random Fields NIPS 2006
Single Channel Speech Separation Using Factorial Dynamics NIPS 2006
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets NIPS 2006
Stochastic Relational Models for Discriminative Link Prediction NIPS 2006
Adaptive Spatial Filters with predefined Region of Interest for EEG based Brain-Computer-Interfaces NIPS 2006
Multiple Instance Learning for Computer Aided Diagnosis NIPS 2006
High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression NIPS 2006
Branch and Bound for Semi-Supervised Support Vector Machines NIPS 2006
Multi-Instance Multi-Label Learning with Application to Scene Classification NIPS 2006
Context Effects in Category Learning: An Investigation of Four Probabilistic Models NIPS 2006
Chained Boosting NIPS 2006
Support Vector Machines on a Budget NIPS 2006
Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds NIPS 2006
Correcting Sample Selection Bias by Unlabeled Data NIPS 2006
Attribute-efficient learning of decision lists and linear threshold functions under unconcentrated distributions NIPS 2006
Optimal Single-Class Classification Strategies NIPS 2006
Sparse Multinomial Logistic Regression via Bayesian L1 Regularisation NIPS 2006
AdaBoost is Consistent NIPS 2006
Cross-Validation Optimization for Large Scale Hierarchical Classification Kernel Methods NIPS 2006