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» Parameterized Learning Complexity
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JIRS
2000
133views more  JIRS 2000»
13 years 9 months ago
Managing Complexity in Large Learning Robotic Systems
Abstract. Autonomous learning systems of significant complexity often consist of several interacting modules or agents. These modules collaborate to produce a system which, when vi...
Kynan Eng, Alec P. Robertson, Deane R. Blackman
COLT
2004
Springer
14 years 3 months ago
Local Complexities for Empirical Risk Minimization
Peter L. Bartlett, Shahar Mendelson, Petra Philips
SEAL
1998
Springer
14 years 2 months ago
Information Operator Scheduling by Genetic Algorithms
Abstract. In this paper, we discuss an approach to an operator scheduling problem in a large organization over time with the aim of maintaining service quality and reducing total l...
Takeshi Yamada, Kazuyuki Yoshimura, Ryohei Nakano
EDUTAINMENT
2006
Springer
14 years 1 months ago
Generating 3D Paper-Cutting Effects
In this paper we describe a framework for generating 3D paper-cutting effects on mesh models. The framework involves the construction of model defined paper-cutting patterns, extr...
Yan Li, Jinhui Yu, Honxin Zhang, Jiaoying Shi
CORR
2012
Springer
183views Education» more  CORR 2012»
12 years 5 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar