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Classification

15,803 papers

Papers per year

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26
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Papers

Semi-Supervised Multitask Learning NIPS 2007
Discriminative K-means for Clustering NIPS 2007
An Analysis of Inference with the Universum NIPS 2007
One-Pass Boosting NIPS 2007
The Value of Labeled and Unlabeled Examples when the Model is Imperfect NIPS 2007
On higher-order perceptron algorithms NIPS 2007
McRank: Learning to Rank Using Multiple Classification and Gradient Boosting NIPS 2007
A Randomized Algorithm for Large Scale Support Vector Learning NIPS 2007
Support Vector Machine Classification with Indefinite Kernels NIPS 2007
Learning with Transformation Invariant Kernels NIPS 2007
Automatic Generation of Social Tags for Music Recommendation NIPS 2007
Learning to classify complex patterns using a VLSI network of spiking neurons NIPS 2007
Efficient Convex Relaxation for Transductive Support Vector Machine NIPS 2007
Boosting the Area under the ROC Curve NIPS 2007
A Risk Minimization Principle for a Class of Parzen Estimators NIPS 2007
Discriminative Batch Mode Active Learning NIPS 2007
Boosting Algorithms for Maximizing the Soft Margin NIPS 2007
Bayesian Co-Training NIPS 2007
Supervised Topic Models NIPS 2007
Discriminative Keyword Selection Using Support Vector Machines NIPS 2007
Parallelizing Support Vector Machines on Distributed Computers NIPS 2007
Regularized Boost for Semi-Supervised Learning NIPS 2007
Multiple-Instance Pruning For Learning Efficient Cascade Detectors NIPS 2007
Nonlinear Boosting Projections for Ensemble Construction JMLR 2007
Minimax Regret Classifier for Imprecise Class Distributions JMLR 2007