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JMLR
2010
107views more  JMLR 2010»
15 years 29 days ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
AIME
2009
Springer
16 years 24 days ago
Causal Probabilistic Modelling for Two-View Mammographic Analysis
Abstract. Mammographic analysis is a difficult task due to the complexity of image interpretation. This results in diagnostic uncertainty, thus provoking the need for assistance by...
Marina Velikova, Maurice Samulski, Peter J. F. Luc...
WISA
2004
Springer
15 years 11 months ago
A Probabilistic Method for Detecting Anomalous Program Behavior
In this paper, we, as well as Eskin, Lee, Stolfo [7] propose a method of prediction model. In their method, the program was characterized with both the order and the kind of system...
Kohei Tatara, Toshihiro Tabata, Kouichi Sakurai
JMLR
2000
134views more  JMLR 2000»
15 years 6 months ago
Learning with Mixtures of Trees
This paper describes the mixtures-of-trees model, a probabilistic model for discrete multidimensional domains. Mixtures-of-trees generalize the probabilistic trees of Chow and Liu...
Marina Meila, Michael I. Jordan
KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 10 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