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RSKT
2010
Springer
14 years 11 months ago
Naive Bayesian Rough Sets
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
Yiyu Yao, Bing Zhou
87
Voted
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
15 years 5 months ago
A contractivity approach for probabilistic bisimulations of diffusion processes
— This work is concerned with the problem of characterizing and computing probabilistic bisimulations of diffusion processes. A probabilistic bisimulation relation between two su...
Alessandro Abate
APLAS
2007
ACM
15 years 4 months ago
A Systematic Approach to Probabilistic Pointer Analysis
Abstract. We present a formal framework for syntax directed probabilistic program analysis. Our focus is on probabilistic pointer analysis. We show how to obtain probabilistic poin...
Alessandra Di Pierro, Chris Hankin, Herbert Wiklic...
97
Voted
IANDC
2006
81views more  IANDC 2006»
15 years 18 days ago
True-concurrency probabilistic models: Branching cells and distributed probabilities for event structures
This paper is devoted to probabilistic models for concurrent systems under their true-concurrency semantics. Here we address probabilistic event structures. We consider a new clas...
Samy Abbes, Albert Benveniste
ACL
2006
15 years 2 months ago
Exact Decoding for Jointly Labeling and Chunking Sequences
There are two decoding algorithms essential to the area of natural language processing. One is the Viterbi algorithm for linear-chain models, such as HMMs or CRFs. The other is th...
Nobuyuki Shimizu, Andrew R. Haas