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IJCAI
1997
15 years 7 months ago
Machine Learning Techniques to Make Computers Easier to Use
Identifying user-dependent information that can be automatically collected helps build a user model by which 1) to predict what the user wants to do next and 2) to do relevant pre...
Hiroshi Motoda, Kenichi Yoshida
179
Voted
UAI
2000
15 years 7 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
DAGSTUHL
1994
15 years 7 months ago
Function-Based Object Recognition
Functionality-based recognition systems recognize objects at the category level by reasoning about how well the objects support the expected function. Such systems naturally assoc...
Louise Stark, Kevin W. Bowyer
AAAI
2008
15 years 7 months ago
Reasoning about Large Taxonomies of Actions
We design a representation based on the situation calculus to facilitate development, maintenance and elaboration of very large taxonomies of actions. This representation leads to...
Yilan Gu, Mikhail Soutchanski
172
Voted
AAAI
2010
15 years 7 months ago
Reasoning about Imperfect Information Games in the Epistemic Situation Calculus
Approaches to reasoning about knowledge in imperfect information games typically involve an exhaustive description of the game, the dynamics characterized by a tree and the incomp...
Vaishak Belle, Gerhard Lakemeyer