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AAAI
2008
15 years 9 months ago
Non-monotonic Temporal Logics that Facilitate Elaboration Tolerant Revision of Goals
Temporal logics are widely used in specifying goals of agents. We noticed that when directing agents, humans often revise their requirements for the agent, especially as they gath...
Chitta Baral, Jicheng Zhao
206
Voted
AAAI
2008
15 years 9 months ago
Markov Blanket Feature Selection for Support Vector Machines
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
Jianqiang Shen, Lida Li, Weng-Keen Wong
AAAI
2008
15 years 9 months ago
Zero-data Learning of New Tasks
We introduce the problem of zero-data learning, where a model must generalize to classes or tasks for which no training data are available and only a description of the classes or...
Hugo Larochelle, Dumitru Erhan, Yoshua Bengio
200
Voted
AAAI
2007
15 years 9 months ago
Measuring the Level of Transfer Learning by an AP Physics Problem-Solver
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
Matthew Klenk, Kenneth D. Forbus
AIPS
2007
15 years 9 months ago
Monitoring Plan Optimality During Execution
A great deal of research has addressed the problem of generating optimal plans, but these plans are of limited use in circumstances where noisy sensors, unanticipated exogenous ac...
Christian Fritz, Sheila A. McIlraith