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COLT
2000
Springer
15 years 8 months ago
Model Selection and Error Estimation
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalizatio...
Peter L. Bartlett, Stéphane Boucheron, G&aa...
ROBOCUP
1998
Springer
101views Robotics» more  ROBOCUP 1998»
15 years 8 months ago
Evolving Team Darwin United
The RoboCup simulator competition is one of the most challenging international proving grounds for contemporary AI research. Exactly because of the high level of complexity and a l...
David Andre, Astro Teller
ROBOCUP
1998
Springer
156views Robotics» more  ROBOCUP 1998»
15 years 8 months ago
Cooperative Behavior Acquisition in a Multiple Mobile Robot Environment by Co-evolution
Co-evolution has been receiving increased attention as a method for multi agent simultaneous learning. This paper discusses how multiple robots can emerge cooperative behaviors thr...
Eiji Uchibe, Masateru Nakamura, Minoru Asada
ECML
1997
Springer
15 years 8 months ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
AVSS
2006
IEEE
15 years 7 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks