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» Variability Models Must Not be Invariant!
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ICML
2003
IEEE
14 years 8 months ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller
CVPR
2005
IEEE
14 years 9 months ago
Joint Nonparametric Alignment for Analyzing Spatial Gene Expression Patterns in Drosophila Imaginal Discs
To compare spatial patterns of gene expression, one must analyze a large number of images as current methods are only able to measure a small number of genes at a time. Bringing i...
Parvez Ahammad, Cyrus L. Harmon, Ann Hammonds, Sha...
AGENTS
2000
Springer
13 years 12 months ago
Interactive pedagogical drama
This paper describes an agent-based approach to realizing interactive pedagogical drama. Characters choose their actions autonomously, while director and cinematographer agents ma...
Stacy Marsella, W. Lewis Johnson, Catherine LaBore
UAI
1994
13 years 9 months ago
A Decision-based View of Causality
Most traditional models of uncertainty have focused on the associational relationship among variables as captured by conditional dependence. In order to successfully manage intell...
David Heckerman, Ross D. Shachter
BMCBI
2007
105views more  BMCBI 2007»
13 years 7 months ago
Predicting RNA secondary structure by the comparative approach: how to select the homologous sequences
Background: The secondary structure of an RNA must be known before the relationship between its structure and function can be determined. One way to predict the secondary structur...
Stefan Engelen, Fariza Tahi