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» Using Prior Knowledge: Problems and Solutions
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JMLR
2008
209views more  JMLR 2008»
15 years 3 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
SASN
2006
ACM
15 years 9 months ago
Location-aware key predistribution scheme for wide area wireless sensor networks
Key predistribution in wireless sensor networks refers to the problem of distributing secret keys among sensors prior to deployment. Solutions appeared in the literature can be cl...
Katerina Simonova, Alan C. H. Ling, Xiaoyang Sean ...
AAAI
2007
15 years 5 months ago
Measuring the Level of Transfer Learning by an AP Physics Problem-Solver
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
Matthew Klenk, Kenneth D. Forbus
ATAL
2009
Springer
15 years 9 months ago
Adversarial search with procedural knowledge heuristic
We introduce an adversarial planning algorithm based on game tree search, which is applicable in large-scale multiplayer domains. In order to tackle the scalability issues of game...
Viliam Lisý, Branislav Bosanský, Mic...
KES
2010
Springer
15 years 1 months ago
W-kmeans: Clustering News Articles Using WordNet
 Document clustering is a powerful technique that has been widely used for organizing data into smaller and manageable information kernels. Several approaches have been proposed...
Christos Bouras, Vassilis Tsogkas