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2007
IEEE
13 years 11 months ago
Identifying energy-efficient concurrency levels using machine learning
Abstract-- Multicore microprocessors have been largely motivated by the diminishing returns in performance and the increased power consumption of single-threaded ILP microprocessor...
Matthew Curtis-Maury, Karan Singh, Sally A. McKee,...
ECML
2006
Springer
13 years 11 months ago
Learning in One-Shot Strategic Form Games
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
Alon Altman, Avivit Bercovici-Boden, Moshe Tennenh...
KDD
2002
ACM
108views Data Mining» more  KDD 2002»
14 years 8 months ago
Incremental Machine Learning to Reduce Biochemistry Lab Costs in the Search for Drug Discovery
This paper promotes the use of supervised machine learning in laboratory settings where chemists have a large number of samples to test for some property, and are interested in id...
George Forman
CVPR
2012
IEEE
11 years 10 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
HRI
2009
ACM
14 years 2 months ago
Learning about objects with human teachers
A general learning task for a robot in a new environment is to learn about objects and what actions/effects they afford. To approach this, we look at ways that a human partner c...
Andrea Lockerd Thomaz, Maya Cakmak