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AAAI
2006
15 years 7 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran
ICMAS
2000
15 years 7 months ago
Distributed Case-Based Learning
Multi-agent systems exploiting case based reasoning techniques have to deal with the problem of retrieving episodes that are themselves distributed across a set of agents. From a ...
M. V. Nagendra Prasad
ICONIP
2009
15 years 4 months ago
A Cyclostationarity Analysis Applied to Scaled Images
Abstract. The knowledge of image's geometric history plays an important role in image signal compression, image registration, image retrieval and especially in image forensics...
Babak Mahdian, Stanislav Saic
WWW
2008
ACM
16 years 7 months ago
Finding the right facts in the crowd: factoid question answering over social media
Community Question Answering has emerged as a popular and effective paradigm for a wide range of information needs. For example, to find out an obscure piece of trivia, it is now ...
Jiang Bian, Yandong Liu, Eugene Agichtein, Hongyua...
SAC
2009
ACM
16 years 1 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan