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» Probabilistic models for pattern statistics
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107
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RECOMB
2004
Springer
16 years 4 months ago
Maximum likelihood resolution of multi-block genotypes
We present a new algorithm for the problems of genotype phasing and block partitioning. Our algorithm is based on a new stochastic model, and on the novel concept of probabilistic...
Gad Kimmel, Ron Shamir
113
Voted
KDD
1997
ACM
109views Data Mining» more  KDD 1997»
15 years 7 months ago
Beyond Concise and Colorful: Learning Intelligible Rules
A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to understand data by discovering useful ...
Michael J. Pazzani, Subramani Mani, William Rodman...
134
Voted
NIPS
2003
15 years 5 months ago
Human and Ideal Observers for Detecting Image Curves
This paper compares the ability of human observers to detect target image curves with that of an ideal observer. The target curves are sampled from a generative model which speciï...
Alan L. Yuille, Fang Fang, Paul R. Schrater, Danie...
107
Voted
PET
2009
Springer
15 years 10 months ago
Vida: How to Use Bayesian Inference to De-anonymize Persistent Communications
We present the Vida family of abstractions of anonymous communication systems, model them probabilistically and apply Bayesian inference to extract patterns of communications and u...
George Danezis, Carmela Troncoso
155
Voted
IJCAI
2003
15 years 5 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer