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» Complexity Parameters for First-Order Classes
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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
13 years 12 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
ICCV
2003
IEEE
14 years 8 months ago
A Class of Photometric Invariants: Separating Material from Shape and Illumination
We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change detection and tracking, a...
Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree...
GPCE
2008
Springer
13 years 7 months ago
Lightweight dependent classes
Extensive research efforts have been devoted to implement a group of type-safe mutually recursive classes; recently, proposals for separating each member of the group as a reusabl...
Tetsuo Kamina, Tetsuo Tamai
JMLR
2006
118views more  JMLR 2006»
13 years 6 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
ALT
1999
Springer
13 years 11 months ago
Extended Stochastic Complexity and Minimax Relative Loss Analysis
We are concerned with the problem of sequential prediction using a givenhypothesis class of continuously-manyprediction strategies. An e ectiveperformance measure is the minimax re...
Kenji Yamanishi