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ICML
1996
IEEE
16 years 6 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
ICPR
2008
IEEE
16 years 1 hour ago
Optimal feature weighting for the continuous HMM
We propose new Continuous Hidden Markov Model (CHMM) structure that integrates feature weighting component. We assume that each feature vector could include different subsets of f...
Oualid Missaoui, Hichem Frigui
CCS
2007
ACM
15 years 11 months ago
Fuzzy extractors for continuous distributions
We show that there is a direct relation between the maximum length of the keys extracted from biometric data and the error rates of the biometric system. The length of the bio-key...
Ileana Buhan, Jeroen Doumen, Pieter H. Hartel, Ray...
WINE
2009
Springer
151views Economy» more  WINE 2009»
15 years 10 months ago
Consistent Continuous Trust-Based Recommendation Systems
Abstract. The goal of a trust-based recommendation system is to generate personalized recommendations from known opinions and trust relationships. Prior work introduced the axiomat...
Ola Rozenfeld, Moshe Tennenholtz
UML
2001
Springer
15 years 10 months ago
Approaching a Discrete-Continuous UML: Tool Support and Formalization
: This paper presents HyROOM, a proposal for an extension of UML-like languages by continuous activities for the specification of mixed discrete-continuous, or hybrid, systems. It...
Thomas Stauner, Alexander Pretschner, Istran P&eac...