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» Theories of Automatic Structures and Their Complexity
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AIR
2006
107views more  AIR 2006»
13 years 8 months ago
Just enough learning (of association rules): the TAR2 "Treatment" learner
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
Tim Menzies, Ying Hu
COGSCI
2010
103views more  COGSCI 2010»
13 years 8 months ago
From Perceptual Categories to Concepts: What Develops?
People are remarkably smart: They use language, possess complex motor skills, make nontrivial inferences, develop and use scientific theories, make laws, and adapt to complex dyna...
Vladimir M. Sloutsky
ECAI
2008
Springer
13 years 10 months ago
A Simulation-based Approach for Solving Generalized Semi-Markov Decision Processes
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...
Emmanuel Rachelson, Gauthier Quesnel, Fréd&...
ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
13 years 6 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima
SMA
2009
ACM
157views Solid Modeling» more  SMA 2009»
14 years 2 months ago
Constraint-based model synthesis
We present a method for procedurally modeling general complex 3D shapes. Our approach is targeted towards applications in digital entertainment and gaming and can automatically ge...
Paul Merrell, Dinesh Manocha