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SAC
2006
ACM
15 years 3 months ago
A probability analysis for candidate-based frequent itemset algorithms
This paper explores the generation of candidates, which is an important step in frequent itemset mining algorithms, from a theoretical point of view. Important notions in our prob...
Nele Dexters, Paul W. Purdom, Dirk Van Gucht
ENC
2006
IEEE
15 years 1 months ago
Defining new argumentation-based semantics by minimal models
Dung's argumentation approach is a unifying approach which has played an influential role on argumentation research and Artificial Intelligence (AI). Based on a proper repres...
Juan Carlos Nieves, Ulises Cortés, Mauricio...
FLAIRS
2006
14 years 11 months ago
An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
Shieu-Hong Lin
92
Voted
COR
2006
83views more  COR 2006»
14 years 9 months ago
Modelling and solving English Peg Solitaire
Peg Solitaire is a well known puzzle which can prove difficult despite its simple rules. Pegs are arranged on a board such that at least one `hole' remains. By making draught...
Christopher Jefferson, Angela Miguel, Ian Miguel, ...
AI
2006
Springer
14 years 9 months ago
Complexity of constructing solutions in the core based on synergies among coalitions
Coalition formation is a key problem in automated negotiation among self-interested agents, and other multiagent applications. A coalition of agents can sometimes accomplish thing...
Vincent Conitzer, Tuomas Sandholm