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» Learn .MT: A New Approach to Incremental Learning
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NIPS
1998
15 years 7 months ago
A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations
There has been much recent work on measuring image statistics and on learning probability distributions on images. We observe that the mapping from images to statistics is many-to...
James M. Coughlan, Alan L. Yuille
EVOW
1994
Springer
15 years 10 months ago
Genetic Approaches to Learning Recursive Relations
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
Peter A. Whigham, Robert I. McKay
TREC
2001
15 years 7 months ago
Machine Learning Approach for Homepage Finding Task
This paper describes new machine learning approaches to predict the correct homepage in response to a user's homepage finding query. This involves two phases. In the first ph...
Wensi Xi, Edward A. Fox
PEPM
2009
ACM
16 years 3 months ago
Self-adjusting computation: (an overview)
Many applications need to respond to incremental modifications to data. Being incremental, such modification often require incremental modifications to the output, making it po...
Umut A. Acar
ATAL
2009
Springer
15 years 4 months ago
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
Michael Kaisers, Karl Tuyls