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» On Learning with Integral Operators
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113
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ICML
2005
IEEE
16 years 3 months ago
Hierarchic Bayesian models for kernel learning
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...
Mark Girolami, Simon Rogers
ICALT
2007
IEEE
15 years 9 months ago
The application of IMS Learning Design to Develop Compute-based Educational Game
How can game designers realize the balance of “educational function” and “entertainment” in a Computer-based Educational Game (CEG)? The concept of IMS learning design (LD...
Miaomiao Zeng, Yueliang Zhou
SAINT
2005
IEEE
15 years 8 months ago
Learning Logic Wrappers for Information Extraction from the Web
This paper discusses a methodology for applying general-purpose first-order inductive learning to extract information from Web documents structured as unranked ordered trees. The...
Costin Badica, Elvira Popescu, Amelia Badica
121
Voted
WSC
1997
15 years 3 months ago
Cooperative Learning in Simulation
Traditionally, class periods have meant that students listen to a professor lecture for about an hour. Cooperative learning can replace some of that lecture time with methods desi...
Harriet Black Nembhard
FLAIRS
2003
15 years 4 months ago
Belief Revision and Information Fusion in a Probabilistic Environment
This paper presents new methods for probabilistic belief revision and information fusion. By making use of the principles of optimum entropy (ME-principles), we define a generali...
Gabriele Kern-Isberner, Wilhelm Rödder