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» On the Utility of Inference Mechanisms
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ROMAN
2007
IEEE
179views Robotics» more  ROMAN 2007»
16 years 8 days ago
A Bayesian Network Framework for Vision Based Semantic Scene Understanding
— For a robot to understand a scene, we have to infer and extract meaningful information from vision sensor data. Since scene understanding consists in recognizing several visual...
Seung-Bin Im, Keum-Sung Hwang, Sung-Bae Clio
AI
2007
Springer
16 years 5 days ago
Constructing a User Preference Ontology for Anti-spam Mail Systems
The judgment that whether an email is spam or non-spam may vary from person to person. Different individuals can have totally different responses to the same email based on their p...
Jongwan Kim, Dejing Dou, Haishan Liu, Donghwi Kwak
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
16 years 4 days ago
Evolving explicit opponent models in game playing
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...
POLICY
2007
Springer
16 years 3 days ago
Data-Purpose Algebra: Modeling Data Usage Policies
Data is often encumbered by restrictions on the ways in which it may be used. These restrictions on usage may be determined by statute, by contract, by custom, or by common decenc...
Chris Hanson, Tim Berners-Lee, Lalana Kagal, Geral...
ICDM
2006
IEEE
116views Data Mining» more  ICDM 2006»
16 years 1 days ago
Entity Resolution with Markov Logic
Entity resolution is the problem of determining which records in a database refer to the same entities, and is a crucial and expensive step in the data mining process. Interest in...
Parag Singla, Pedro Domingos