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» Odefy -- From discrete to continuous models
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ICML
2000
IEEE
15 years 10 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall
ICALP
2005
Springer
15 years 3 months ago
Discrete Random Variables over Domains
In this paper we initiate the study of discrete random variables over domains. Our work is inspired by work of Daniele Varacca, who devised indexed valuations as models of probabi...
Michael W. Mislove
COGSCI
2006
99views more  COGSCI 2006»
14 years 9 months ago
Dynamics of Phonological Cognition
A fundamental problem in spoken language is the duality between the continuous aspects of phonetic performance and the discrete aspects of phonological competence. We study 2 inst...
Adamantios I. Gafos, Stefan Benus
EVOW
2009
Springer
15 years 4 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
HYBRID
2003
Springer
15 years 2 months ago
On the Causality of Mixed-Signal and Hybrid Models
This paper extends the application of the Cantor metric as a mathematical tool for defining causalities from pure discrete models to mixed-signal and hybrid models. Using the Cant...
Jie Liu, Edward A. Lee