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PODC
1989
ACM
13 years 11 months ago
Knowledge, Probability, and Adversaries
: What should it mean for an agent to know or believe an assertion is true with probability :99? Di erent papers FH88, FZ88, HMT88] give di erent answers, choosing to use quite di ...
Joseph Y. Halpern, Mark R. Tuttle
BCB
2010
140views Bioinformatics» more  BCB 2010»
13 years 2 months ago
Guiding belief propagation using domain knowledge for protein-structure determination
A major bottleneck in high-throughput protein crystallography is producing protein-structure models from an electrondensity map. In previous work, we developed Acmi, a probabilist...
Ameet Soni, Craig A. Bingman, Jude W. Shavlik
HICSS
2002
IEEE
155views Biometrics» more  HICSS 2002»
14 years 19 days ago
Towards Knowledge-Sharing and Learning in Virtual Professional Communities
This paper describes a program of research designed to understand how knowledge-sharing and learning can be supported in virtual communities. To conduct this research, we propose ...
Michael Bieber, Il Im, Ronald E. Rice, Ricki Goldm...
EDM
2010
113views Data Mining» more  EDM 2010»
13 years 9 months ago
Using multiple Dirichlet distributions to improve parameter plausibility
Predictive accuracy and parameter plausibility are two major desired aspects for a student modeling approach. Knowledge tracing, the most commonly used approach, suffers from local...
Yue Gong, Joseph E. Beck, Neil T. Heffernan
KDD
2007
ACM
237views Data Mining» more  KDD 2007»
14 years 8 months ago
Knowledge discovery of multiple-topic document using parametric mixture model with dirichlet prior
Documents, such as those seen on Wikipedia and Folksonomy, have tended to be assigned with multiple topics as a meta-data. Therefore, it is more and more important to analyze a re...
Issei Sato, Hiroshi Nakagawa