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ICCBR
2007
Springer
14 years 3 months ago
From Anomaly Reports to Cases
Abstract. Creating case representations in unsupervised textual case-based reasoning applications is a challenging task because class knowledge is not available to aid selection of...
Stewart Massie, Nirmalie Wiratunga, Susan Craw, Al...
AAAI
1998
13 years 10 months ago
Feature Generation for Sequence Categorization
The problem of sequence categorization is to generalize from a corpus of labeled sequences procedures for accurately labeling future unlabeled sequences. The choice of representat...
Daniel Kudenko, Haym Hirsh
IJCAI
1997
13 years 10 months ago
Probabilistic Partial Evaluation: Exploiting Rule Structure in Probabilistic Inference
Bayesian belief networks have grown to prominence because they provide compact representations of many domains, and there are algorithms to exploit this compactness. The next step...
David Poole
ATAL
2011
Springer
12 years 9 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha
ICIP
2006
IEEE
14 years 10 months ago
A New Contourlet Transform with Sharp Frequency Localization
The contourlet transform was proposed as a directional multiresolution image representation that can efficiently capture and represent singularities along smooth object boundaries...
Yue M. Lu, Minh N. Do