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ECAI
1990
Springer
15 years 6 months ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt
135
Voted
CVPR
2005
IEEE
16 years 4 months ago
Learning to Estimate Human Pose with Data Driven Belief Propagation
We propose a statistical formulation for 2-D human pose estimation from single images. The human body configuration is modeled by a Markov network and the estimation problem is to...
Gang Hua, Ming-Hsuan Yang, Ying Wu
GCB
2010
Springer
204views Biometrics» more  GCB 2010»
15 years 12 days ago
Learning Pathway-based Decision Rules to Classify Microarray Cancer Samples
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
Enrico Glaab, Jonathan M. Garibaldi, Natalio Krasn...
140
Voted
ICML
2008
IEEE
16 years 3 months ago
Bayesian probabilistic matrix factorization using Markov chain Monte Carlo
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
Ruslan Salakhutdinov, Andriy Mnih
120
Voted
AAI
2002
109views more  AAI 2002»
15 years 2 months ago
Probabilistic Assessment of User's Emotions in Educational Games
We present a probabilistic model to monitor a user's emotions and engagement during the interaction with educational games. We illustrate how our probabilistic model assesses...
Cristina Conati