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ISBI
2009
IEEE
14 years 2 months ago
Probabilistic Branching Node Detection Using Hybrid Local Features
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
Haibin Ling, Michael Barnathan, Vasileios Megalooi...
AAAI
1992
13 years 8 months ago
A Probabilistic Parser Applied to Software Testing Documents
We describe an approach to training a statistical parser from a bracketed corpus, and demonstrate its use in a software testing application that translates English speci cations i...
Mark A. Jones, Jason Eisner
KDD
2006
ACM
147views Data Mining» more  KDD 2006»
14 years 7 months ago
Summarizing itemset patterns using probabilistic models
In this paper, we propose a novel probabilistic approach to summarize frequent itemset patterns. Such techniques are useful for summarization, post-processing, and end-user interp...
Chao Wang, Srinivasan Parthasarathy
PVLDB
2008
160views more  PVLDB 2008»
13 years 7 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
ICIAP
2001
Springer
14 years 7 months ago
A Probabilistic Model for the Human Skin Color
We present a multivariate statistical model to represent the human skin color. In our approach, there are no limitations regarding if the person is white or black, once the model ...
Tibério S. Caetano, Dante Augusto Couto Bar...