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» Learning to Control in Operational Space
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ICAI
2004
15 years 5 months ago
Task Oriented Machine-Learning and Review
We propose an optimization algorithm to execute a previously unlearned task-oriented command in an intelligent machine. We show that a well-defined, physically bounded, task-orien...
Pierre Abdelmalek, Howard E. Michel
NIPS
2003
15 years 5 months ago
Kernel Dimensionality Reduction for Supervised Learning
We propose a novel method of dimensionality reduction for supervised learning. Given a regression or classification problem in which we wish to predict a variable Y from an expla...
Kenji Fukumizu, Francis R. Bach, Michael I. Jordan
PLDI
2010
ACM
15 years 9 months ago
Green: a framework for supporting energy-conscious programming using controlled approximation
Energy-efficient computing is important in several systems ranging from embedded devices to large scale data centers. Several application domains offer the opportunity to tradeof...
Woongki Baek, Trishul M. Chilimbi
120
Voted
TSMC
2002
80views more  TSMC 2002»
15 years 3 months ago
Performance metric alerting: a new design approach for complex alerting problems
Alerting systems and related decision-making automation are widely used to enhance the safety and capability of controlled processes across many applications. Traditional alerting ...
L. C. Yang, J. K. Kuchar
118
Voted
FDG
2009
ACM
15 years 10 months ago
Very fast action selection for parameterized behaviors
In this paper, I will discuss a set of techniques for supporting limited variable binding in behavior-based systems. This adds additional useful expressivity while preserving the ...
Ian Horswill