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» Learning Algorithms for Domain Adaptation
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99
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AAMAS
2007
Springer
15 years 18 days ago
An experts approach to strategy selection in multiagent meeting scheduling
Abstract. In the multiagent meeting scheduling problem, agents negotiate with each other on behalf of their users to schedule meetings. While a number of negotiation approaches hav...
Elisabeth Crawford, Manuela M. Veloso
70
Voted
ICML
2004
IEEE
16 years 1 months ago
Relational sequential inference with reliable observations
We present a trainable sequential-inference technique for processes with large state and observation spaces and relational structure. Our method assumes "reliable observation...
Alan Fern, Robert Givan
ICML
2004
IEEE
16 years 1 months ago
Utile distinction hidden Markov models
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
Daan Wierstra, Marco Wiering
89
Voted
AI
2009
Springer
15 years 7 months ago
Cost-Based Sampling of Individual Instances
In many practical domains, misclassification costs can differ greatly and may be represented by class ratios, however, most learning algorithms struggle with skewed class distrib...
William Klement, Peter A. Flach, Nathalie Japkowic...
92
Voted
JAIR
2008
120views more  JAIR 2008»
15 years 14 days ago
Anytime Induction of Low-cost, Low-error Classifiers: a Sampling-based Approach
Machine learning techniques are gaining prevalence in the production of a wide range of classifiers for complex real-world applications with nonuniform testing and misclassificati...
Saher Esmeir, Shaul Markovitch