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UAI
1996
13 years 10 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
SIGGRAPH
1995
ACM
14 years 6 days ago
Realistic modeling for facial animation
A major unsolved problem in computer graphics is the construction and animation of realistic human facial models. Traditionally, facial models have been built painstakingly by man...
Yuencheng Lee, Demetri Terzopoulos, Keith Waters
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
14 years 9 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
DEXAW
2009
IEEE
113views Database» more  DEXAW 2009»
14 years 3 months ago
Identification of Surgery Indicators by Mining Hospital Data: A Preliminary Study
—The management of patient referrals is an interesting issue when it comes to predicting future patient demand to increase hospital productivity. In general, a patient is referre...
Marie Persson, Niklas Lavesson
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 3 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman