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Efficient Computing

6876 directly classified papers

Papers per year

Papers

Optimization on a Budget: A Reinforcement Learning Approach NIPS 2008
Fast High-dimensional Kernel Summations Using the Monte Carlo Multipole Method NIPS 2008
A Massively Parallel Digital Learning Processor NIPS 2008
One sketch for all: Theory and Application of Conditional Random Sampling NIPS 2008
Predictive Indexing for Fast Search NIPS 2008
Automatic online tuning for fast Gaussian summation NIPS 2008
Artificial Olfactory Brain for Mixture Identification NIPS 2008
Multiple-Instance Pruning For Learning Efficient Cascade Detectors NIPS 2007
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NIPS 2007
Random Features for Large-Scale Kernel Machines NIPS 2007
A learning framework for nearest neighbor search NIPS 2007
Ultrafast Monte Carlo for Statistical Summations NIPS 2007
Dense Mapping for Range Sensors: Efficient Algorithms and Sparse Representations RSS 2007
Context and Feature Sensitive Re-sampling from Discrete Surface Measurements RSS 2007
Automatic Scheduling for Parallel Forward Dynamics Computation of Open Kinematic Chains RSS 2007
Map-Reduce for Machine Learning on Multicore NIPS 2006
A Hierarchy of Support Vector Machines for Pattern Detection JMLR 2006
New Algorithms for Efficient High-Dimensional Nonparametric Classification JMLR 2006
On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005
Efficient Computation of Gapped Substring Kernels on Large Alphabets JMLR 2005
Data Structure for Efficient Processing in 3-D RSS 2005
The Entire Regularization Path for the Support Vector Machine JMLR 2004
Learning Ensembles from Bites: A Scalable and Accurate Approach JMLR 2004
Dimensionality Reduction via Sparse Support Vector Machines JMLR 2003
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003