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IPTPS
2004
Springer
16 years 4 days ago
When Multi-hop Peer-to-Peer Lookup Matters
Distributed hash tables have been around for a long time [5, 7]. A number of recent projects propose peerto-peer DHTs, based on multi-hop lookup optimizations. Some of these syste...
Rodrigo Rodrigues, Charles Blake
CVPR
1997
IEEE
16 years 8 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
ICML
2004
IEEE
16 years 7 months ago
Using relative novelty to identify useful temporal abstractions in reinforcement learning
lative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning ?Ozg?ur S?im?sek ozgur@cs.umass.edu Andrew G. Barto barto@cs.umass.edu Department of Computer Scie...
Özgür Simsek, Andrew G. Barto
WWW
2005
ACM
16 years 7 months ago
Ontology-based learning content repurposing
This paper investigates basic research issues that need to be addressed for developing an architecture that enables repurposing of learning objects in a flexible way. Currently, t...
Katrien Verbert, Dragan Gasevic, Jelena Jovanovic,...
203
Voted
ICDM
2005
IEEE
163views Data Mining» more  ICDM 2005»
16 years 12 days ago
Balancing Exploration and Exploitation: A New Algorithm for Active Machine Learning
Active machine learning algorithms are used when large numbers of unlabeled examples are available and getting labels for them is costly (e.g. requiring consulting a human expert)...
Thomas Takeo Osugi, Kun Deng, Stephen D. Scott