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AAAI
2006
14 years 11 months ago
On Multi-Class Cost-Sensitive Learning
Rescaling is possibly the most popular approach to cost-sensitive learning. This approach works by rescaling the classes according to their costs, and it can be realized in differ...
Zhi-Hua Zhou, Xu-Ying Liu
81
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ROBOCUP
2009
Springer
134views Robotics» more  ROBOCUP 2009»
15 years 4 months ago
Learning Complementary Multiagent Behaviors: A Case Study
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
Shivaram Kalyanakrishnan, Peter Stone
NIPS
2008
14 years 11 months ago
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
Gabriele Schweikert, Christian Widmer, Bernhard Sc...
EPEW
2008
Springer
14 years 11 months ago
An Empirical Investigation of the Applicability of a Component-Based Performance Prediction Method
Abstract. Component-based software performance engineering (CBSPE) methods shall enable software architects to assess the expected response times, throughputs, and resource utiliza...
Anne Martens, Steffen Becker, Heiko Koziolek, Ralf...
AAI
1998
101views more  AAI 1998»
14 years 9 months ago
Layered Approach to Learning Client Behaviors in the Robocup Soccer Server
In the past few years, Multiagent Systems (MAS) has emerged as an active subfield of Artificial Intelligence (AI). Because of the inherent complexity of MAS, there is much inter...
Peter Stone, Manuela M. Veloso