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AI
2010
Springer
13 years 4 months ago
Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition
How do we build algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human interaction, such...
James Pita, Manish Jain, Milind Tambe, Fernando Or...
BMCBI
2006
100views more  BMCBI 2006»
13 years 7 months ago
Towards a better solution to the shortest common supersequence problem: the deposition and reduction algorithm
Background: The problem of finding a Shortest Common Supersequence (SCS) of a set of sequences is an important problem with applications in many areas. It is a key problem in biol...
Kang Ning, Hon Wai Leong
CP
2004
Springer
14 years 1 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
ECOOP
2000
Springer
13 years 12 months ago
Copying and Comparing: Problems and Solutions
In object oriented programming, it is sometimes necessary to copy objects and to compare them for equality or inequality. We discuss some of the issues involved in copying and comp...
Peter Grogono, Markku Sakkinen
CORR
2006
Springer
109views Education» more  CORR 2006»
13 years 7 months ago
On Conditional Branches in Optimal Decision Trees
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
Michael B. Baer