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ICML
2007
IEEE
16 years 7 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
ICML
2005
IEEE
16 years 7 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
SIGSOFT
2007
ACM
16 years 7 months ago
A specification-based approach to testing software product lines
This paper presents a specification-based approach for systematic testing of products from a software product line. Our approach uses specifications given as formulas in Alloy, a ...
Engin Uzuncaova, Daniel Garcia, Sarfraz Khurshid, ...
SIGSOFT
2005
ACM
16 years 7 months ago
Lightweight object specification with typestates
Previous work has proven typestates to be useful for modeling protocols in object-oriented languages. We build on this work by addressing substitutability of subtypes as well as i...
Kevin Bierhoff, Jonathan Aldrich
ISBI
2002
IEEE
16 years 7 months ago
Early detection of breast cancer using thermal texture maps
This paper focuses on the discussion of using thermal infrared imaging (TIR) in early detection of breast cancer. We use the term thermal texture maps to represent the images captu...
Hairong Qi, P. T. Kuruganti, Zhongqi Liu