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» Learning Monotone Decision Trees in Polynomial Time
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86
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IJHCI
2010
144views more  IJHCI 2010»
14 years 10 months ago
Naturalistic Decision Making for Power System Operators
Motivation – Investigations of large-scale outages in the North American interconnected electric system often attribute the causes to three T’s: Trees, Training and Tools. To ...
Frank L. Greitzer, Robin Podmore, Marck Robinson, ...
INFOCOM
2012
IEEE
13 years 2 months ago
Approximately optimal adaptive learning in opportunistic spectrum access
—In this paper we develop an adaptive learning algorithm which is approximately optimal for an opportunistic spectrum access (OSA) problem with polynomial complexity. In this OSA...
Cem Tekin, Mingyan Liu
88
Voted
CIS
2004
Springer
15 years 5 months ago
Knowledge Maintenance on Data Streams with Concept Drifting
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
Juggapong Natwichai, Xue Li
AAAI
1996
15 years 1 months ago
Learning to Take Actions
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
Roni Khardon
IPL
2010
114views more  IPL 2010»
14 years 10 months ago
Alphabetic coding with exponential costs
An alphabetic binary tree formulation applies to problems in which an outcome needs to be determined via alphabetically ordered search prior to the termination of some window of o...
Michael B. Baer