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» Learning Hierarchical Shape Models from Examples
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GPEM
2008
128views more  GPEM 2008»
15 years 6 months ago
Coevolutionary bid-based genetic programming for problem decomposition in classification
In this work a cooperative, bid-based, model for problem decomposition is proposed with application to discrete action domains such as classification. This represents a significan...
Peter Lichodzijewski, Malcolm I. Heywood
BMCBI
2007
147views more  BMCBI 2007»
15 years 5 months ago
Comparative analysis of long DNA sequences by per element information content using different contexts
Background: Features of a DNA sequence can be found by compressing the sequence under a suitable model; good compression implies low information content. Good DNA compression mode...
Trevor I. Dix, David R. Powell, Lloyd Allison, Jul...
ARCS
2005
Springer
15 years 11 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
BMCBI
2006
165views more  BMCBI 2006»
15 years 6 months ago
Improved variance estimation of classification performance via reduction of bias caused by small sample size
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
Ulrika Wickenberg-Bolin, Hanna Göransson, M&a...
COSIT
2001
Springer
139views GIS» more  COSIT 2001»
15 years 10 months ago
Two Path Prepositions: Along and Past
Abstract. We present results from a series of experiments, where relevant factors for the use of path prepositions were examined. We were especially interested in the concepts behi...
Christian Kray, Jörg Baus, Hubert D. Zimmer, ...