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Optimization

14207 directly classified papers

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Papers

Discriminative Batch Mode Active Learning NIPS 2007
Progressive mixture rules are deviation suboptimal NIPS 2007
Minimax Regret Classifier for Imprecise Class Distributions JMLR 2007
The Tradeoffs of Large Scale Learning NIPS 2007
DIFFRAC: a discriminative and flexible framework for clustering NIPS 2007
Robust Regression with Twinned Gaussian Processes NIPS 2007
Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets" JMLR 2007
Stagewise Lasso JMLR 2007
Ranking the Best Instances JMLR 2007
A Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2007
Concave Learners for Rankboost JMLR 2007
Infinitely Imbalanced Logistic Regression JMLR 2007
Preventing Over-Fitting during Model Selection via Bayesian Regularisation of the Hyper-Parameters JMLR 2007
Anytime Learning of Decision Trees JMLR 2007
Very Fast Online Learning of Highly Non Linear Problems JMLR 2007
Spatially-Adaptive Learning Rates for Online Incremental SLAM RSS 2007
An Implicit Time-Stepping Method for Multibody Systems with Intermittent Contact RSS 2007
Adaptive Embedded Subgraph Algorithms using Walk-Sum Analysis NIPS 2007
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains NIPS 2007
A Risk Minimization Principle for a Class of Parzen Estimators NIPS 2007
Boosting the Area under the ROC Curve NIPS 2007
Message Passing for Max-weight Independent Set NIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs NIPS 2007
Convex Clustering with Exemplar-Based Models NIPS 2007
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems NIPS 2007