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IJCAI
1989
15 years 5 months ago
Maximum Entropy in Nilsson's Probabilistic Logic
Nilsson's Probabilistic Logic is a set theoretic mechanism for reasoning with uncertainty. We propose a new way of looking at the probability constraints enforced by the fram...
Thomas B. Kane
SYNTHESE
2008
85views more  SYNTHESE 2008»
15 years 4 months ago
Objective Bayesianism with predicate languages
Objective Bayesian probability is often defined over rather simple domains, e.g., finite event spaces or propositional languages. This paper investigates the extension of objectiv...
Jon Williamson
137
Voted
AUSAI
2006
Springer
15 years 8 months ago
Lazy Learning for Improving Ranking of Decision Trees
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
Han Liang, Yuhong Yan
ICCV
1998
IEEE
16 years 6 months ago
A Probabilistic Framework for Edge Detection and Scale Selection
We devise a statistical framework for edge detection by performing a statistical analysis of zero crossings of the second derivative of an image. This analysis enables us to estim...
David H. Marimont, Yossi Rubner
144
Voted
ICML
2001
IEEE
16 years 5 months ago
Estimating a Kernel Fisher Discriminant in the Presence of Label Noise
Data noise is present in many machine learning problems domains, some of these are well studied but others have received less attention. In this paper we propose an algorithm for ...
Bernhard Schölkopf, Neil D. Lawrence