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» On the Validity of Hierarchical Decompositions
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PKDD
2010
Springer
177views Data Mining» more  PKDD 2010»
13 years 7 months ago
ITCH: Information-Theoretic Cluster Hierarchies
Hierarchical clustering methods are widely used in various scientific domains such as molecular biology, medicine, economy, etc. Despite the maturity of the research field of hie...
Christian Böhm, Frank Fiedler, Annahita Oswal...
AAAI
1994
13 years 10 months ago
HTN Planning: Complexity and Expressivity
Most practical work on AI planningsystems during the last fteen years has been based on hierarchical task network (HTN) decomposition, but until now, there has been very little an...
Kutluhan Erol, James A. Hendler, Dana S. Nau
PAMI
2006
229views more  PAMI 2006»
13 years 8 months ago
A Coherent Computational Approach to Model Bottom-Up Visual Attention
Visual attention is a mechanism which filters out redundant visual information and detects the most relevant parts of our visual field. Automatic determination of the most visually...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...
MP
2006
110views more  MP 2006»
13 years 8 months ago
Decomposition and Dynamic Cut Generation in Integer Linear Programming
Decomposition algorithms such as Lagrangian relaxation and Dantzig-Wolfe decomposition are well-known methods that can be used to generate bounds for mixed-integer linear programmi...
Ted K. Ralphs, Matthew V. Galati
AIED
2009
Springer
14 years 3 months ago
Using Learning Decomposition to Analyze Instructional Effectiveness in the ASSISTment System
A basic question of instruction is how effective it is in promoting student learning. This paper presents a study determining the relative efficacy of different instructional conte...
Mingyu Feng, Neil T. Heffernan, Joseph E. Beck