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» Using Gaussian Processes to Optimize Expensive Functions
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IPPS
2007
IEEE
14 years 3 months ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...
ICIP
2005
IEEE
14 years 10 months ago
JPEG 2000 scalar quantization using an optimally frequency localized modulated lapped transform
JPEG 2000 is a lossy integer-to-integer transform-based compression method that first quantizes the separable 2-D wavelet transform coefficients, then entropy codes them. The imag...
Peter C. Tay, Joseph P. Havlicek
IWANN
1999
Springer
14 years 1 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
ICDE
2002
IEEE
149views Database» more  ICDE 2002»
14 years 10 months ago
GADT: A Probability Space ADT for Representing and Querying the Physical World
Large sensor networks are being widely deployed for measurement, detection, and monitoring applications. Many of these applications involve database systems to store and process d...
Anton Faradjian, Johannes Gehrke, Philippe Bonnet
PAMI
2007
186views more  PAMI 2007»
13 years 8 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little