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Optimization

14207 directly classified papers

Papers per year

Papers

Accelerated Variational Dirichlet Process Mixtures NIPS 2006
Sparse Boosting JMLR 2006
Efficient sparse coding algorithms NIPS 2006
Bayesian Model Scoring in Markov Random Fields NIPS 2006
A Local Learning Approach for Clustering NIPS 2006
Non-rigid point set registration: Coherent Point Drift NIPS 2006
Stability of $K$-Means Clustering NIPS 2006
Approximate inference using planar graph decomposition NIPS 2006
Parameter Expanded Variational Bayesian Methods NIPS 2006
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines JMLR 2006
Large Scale Multiple Kernel Learning JMLR 2006
Considering Cost Asymmetry in Learning Classifiers JMLR 2006
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra JMLR 2006
The Interplay of Optimization and Machine Learning Research JMLR 2006
Maximum-Gain Working Set Selection for SVMs JMLR 2006
Exploiting Locality in SLAM by Nested Dissection RSS 2006
An Efficient Implementation of an Active Set Method for SVMs JMLR 2006
Evolutionary Function Approximation for Reinforcement Learning JMLR 2006
Estimating the “Wrong” Graphical Model: Benefits in the Computation-Limited Setting JMLR 2006
Optimal Rules for Programmed Stochastic Self-Assembly RSS 2006
Linear Programming Relaxations and Belief Propagation -- An Empirical Study JMLR 2006
Streamwise Feature Selection JMLR 2006
Conditional Random Sampling: A Sketch-based Sampling Technique for Sparse Data NIPS 2006
Training Conditional Random Fields for Maximum Labelwise Accuracy NIPS 2006
Sparse Representation for Signal Classification NIPS 2006