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IWANN
1999
Springer
15 years 11 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
VISUALIZATION
1997
IEEE
15 years 11 months ago
ROAMing terrain: real-time optimally adapting meshes
Terrain visualization is a difficult problem for applications requiring accurate images of large datasets at high frame rates, such as flight simulation and ground-based aircraf...
Mark A. Duchaineau, Murray Wolinsky, David E. Sige...
GFKL
2006
Springer
133views Data Mining» more  GFKL 2006»
15 years 11 months ago
Adaptive Conjoint Analysis for Pricing Music Downloads
Finding the right pricing for music downloads is of ample importance to the recording industry and music download service providers. For the recently introduced music downloads, re...
Christoph Breidert, Michael Hahsler
USENIX
2008
15 years 10 months ago
Prefetching with Adaptive Cache Culling for Striped Disk Arrays
Conventional prefetching schemes regard prediction accuracy as important because useless data prefetched by a faulty prediction may pollute the cache. If prefetching requires cons...
Sung Hoon Baek, Kyu Ho Park
DIMVA
2007
15 years 9 months ago
On the Adaptive Real-Time Detection of Fast-Propagating Network Worms
Abstract. We present two light-weight worm detection algorithms that offer significant advantages over fixed-threshold methods. The first algorithm, RBS (ratebased sequential hy...
Jaeyeon Jung, Rodolfo A. Milito, Vern Paxson