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CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 8 months ago
Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
Sumio Watanabe
AAAI
2012
11 years 11 months ago
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images
Pre-symptomatic drought stress prediction is of great relevance in precision plant protection, ultimately helping to meet the challenge of “How to feed a hungry world?”. Unfor...
Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Chr...
ICML
2005
IEEE
14 years 9 months ago
Proto-value functions: developmental reinforcement learning
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
Sridhar Mahadevan
SIAMSC
2008
191views more  SIAMSC 2008»
13 years 8 months ago
ORBIT: Optimization by Radial Basis Function Interpolation in Trust-Regions
Abstract. We present a new derivative-free algorithm, ORBIT, for unconstrained local optimization of computationally expensive functions. A trust-region framework using interpolati...
Stefan M. Wild, Rommel G. Regis, Christine A. Shoe...
ESWS
2006
Springer
14 years 11 days ago
On the Semantics of Functional Descriptions of Web Services
Functional descriptions are a central pillar of Semantic Web services. Disregarding details on how to invoke and consume the service, they shall provide a black box description for...
Uwe Keller, Holger Lausen, Michael Stollberg