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127
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KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 7 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
144
Voted
ICDE
2007
IEEE
114views Database» more  ICDE 2007»
15 years 7 months ago
Group Recommending: A methodological Approach based on Bayesian Networks
The problem of building Recommender Systems has attracted considerable attention in recent years, but most recommender systems are designed for recommending items for individuals....
Luis M. de Campos, Juan M. Fernández-Luna, ...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 7 months ago
String transformation-based Bayesian classification or proteins
We describe a Markov chain Bayesian classification tool, SCS, that can perform data-driven classification of proteins and protein segments. Training data for interesting classific...
Timothy Meekhof, Gary W. Daughdrill, Robert B. Hec...
99
Voted
AAAI
2008
15 years 5 months ago
Bayesian Coalitional Games
We introduce Bayesian Coalitional Games1 (BCGs), a generalization of classical coalitional games to settings with uncertainties. We define the semantics of BCG using the partition...
Samuel Ieong, Yoav Shoham
130
Voted
NIPS
2001
15 years 5 months ago
Bayesian Predictive Profiles With Applications to Retail Transaction Data
Massive transaction data sets are recorded in a routine manner in telecommunications, retail commerce, and Web site management. In this paper we address the problem of inferring p...
Igor V. Cadez, Padhraic Smyth