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» Learning and using relational theories
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ML
1998
ACM
136views Machine Learning» more  ML 1998»
15 years 6 months ago
Co-Evolution in the Successful Learning of Backgammon Strategy
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
Jordan B. Pollack, Alan D. Blair
CORR
2011
Springer
202views Education» more  CORR 2011»
14 years 10 months ago
First-order Logic: Modality and Intensionality
Contemporary use of the term ’intension’ derives from the traditional logical Frege-Russell’s doctrine that an idea (logic formula) has both an extension and an intension. Al...
Zoran Majkic
EGOV
2006
Springer
15 years 10 months ago
Evaluation of E-Government Systems: Project Assessment vs Development Assessment
Abstract. Most reported literature on evaluation of e-government systems tend to focus on narrow aspects of project design and implementation. The larger context of development and...
Rahul De'
ICML
2006
IEEE
16 years 7 months ago
Bayesian learning of measurement and structural models
We present a Bayesian search algorithm for learning the structure of latent variable models of continuous variables. We stress the importance of applying search operators designed...
Ricardo Silva, Richard Scheines
169
Voted
ICDM
2009
IEEE
174views Data Mining» more  ICDM 2009»
16 years 1 months ago
Non-sparse Multiple Kernel Learning for Fisher Discriminant Analysis
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...