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APPROX
2007
Springer
112views Algorithms» more  APPROX 2007»
14 years 2 months ago
Encouraging Cooperation in Sharing Supermodular Costs
Abstract Consider a situation where a group of agents wishes to share the costs of their joint actions, and needs to determine how to distribute the costs amongst themselves in a f...
Andreas S. Schulz, Nelson A. Uhan
KDD
2003
ACM
150views Data Mining» more  KDD 2003»
14 years 9 months ago
Learning relational probability trees
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
Jennifer Neville, David Jensen, Lisa Friedland, Mi...
WADS
2005
Springer
149views Algorithms» more  WADS 2005»
14 years 2 months ago
Balanced Aspect Ratio Trees Revisited
Spatial databases support a variety of geometric queries on point data such as range searches, nearest neighbor searches, etc. Balanced Aspect Ratio (BAR) trees are hierarchical sp...
Amitabh Chaudhary, Michael T. Goodrich
DMKD
2003
ACM
114views Data Mining» more  DMKD 2003»
14 years 1 months ago
Deriving link-context from HTML tag tree
HTML anchors are often surrounded by text that seems to describe the destination page appropriately. The text surrounding a link or the link-context is used for a variety of tasks...
Gautam Pant
AAAI
1998
13 years 10 months ago
Tree Based Discretization for Continuous State Space Reinforcement Learning
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
William T. B. Uther, Manuela M. Veloso