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» Learning, Moment-by-Moment and Over the Long Term
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ATAL
2004
Springer
13 years 10 months ago
QueryTracker: An Agent for Tracking Persistent Information Needs
Most people have long term information interests. Current Web search engines satisfy immediate information needs. Specific sites support tracking of long term interests. We prese...
Gabriel Somlo, Adele E. Howe
ECCV
2000
Springer
14 years 7 months ago
Learning Over Multiple Temporal Scales in Image Databases
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
Nuno Vasconcelos, Andrew Lippman
ICCBR
2010
Springer
13 years 9 months ago
Reducing the Memory Footprint of Temporal Difference Learning over Finitely Many States by Using Case-Based Generalization
In this paper we present an approach for reducing the memory footprint requirement of temporal difference methods in which the set of states is finite. We use case-based generaliza...
Matt Dilts, Héctor Muñoz-Avila
ESANN
2006
13 years 6 months ago
Construction of a memory management system in an on-line learning mechanism
This paper is the first of a two paper series that deals with an important problem in on-line learning mechanisms for autonomous agents that must perform non trivial tasks and oper...
Francisco Bellas, José Antonio Becerra, Ric...
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
13 years 11 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang