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GECCO
2004
Springer
113views Optimization» more  GECCO 2004»
16 years 4 days ago
Implications of Epigenetic Learning Via Modification of Histones on Performance of Genetic Programming
Extending the notion of inheritable genotype in genetic programming (GP) from the common model of DNA into chromatin (DNA and histones), we propose an approach of embedding in GP a...
Ivan Tanev, Kikuo Yuta
ICPR
2010
IEEE
15 years 11 months ago
Microaneurysm (MA) Detection Via Sparse Representation Classifier with MA and Non-MA Dictionary Learning
Diabetic retinopathy (DR) is a common complication of diabetes that damages the retina and leads to sight loss if treated late. In its earliest stage, DR can be diagnosed by microa...
Bob Zhang, Lei Zhang, Jane You, Fakhri Karray
CAV
2010
Springer
214views Hardware» more  CAV 2010»
15 years 10 months ago
Learning Component Interfaces with May and Must Abstractions
elor Thesis: Demand Driven Abstraction Refinement • Advisor: Dr. Andrey Rybalchenko Kendriya Vidyalaya ONGC, Dehradun, Uttaranchal INDIA All India Senior Secondary Examination, ...
Rishabh Singh, Dimitra Giannakopoulou, Corina S. P...
ECAI
2004
Springer
15 years 10 months ago
Yet More Efficient EM Learning for Parameterized Logic Programs by Inter-Goal Sharing
Abstract. In previous research, we presented a dynamicprogramming-based EM (expectation-maximization) algorithm for parameterized logic programs, which is based on the structure sh...
Yoshitaka Kameya, Taisuke Sato, Neng-Fa Zhou
CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
15 years 10 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao