175
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AAAI
2011
14 years 3 months ago
2011
Plan recognition is a form of abductive reasoning that involves inferring plans that best explain sets of observed actions. Most existing approaches to plan recognition and other ...
158
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AAAI
2011
14 years 3 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
140
Voted
AAAI
2011
14 years 3 months ago
2011
We consider a new class of planning problems involving a set of non-negative real variables, and a set of non-deterministic actions that increase or decrease the values of these v...
173
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AAAI
2011
14 years 3 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
129
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AAAI
2011
14 years 3 months ago
2011
The standard approach to computing an optimal mixed strategy to commit to is based on solving a set of linear programs, one for each of the follower’s pure strategies. We show t...
109
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AAAI
2011
14 years 3 months ago
2011
The goal of my research is to develop and evaluate longterm declarative memory mechanisms that are effective and efficient across a variety of tasks.
164
Voted
AAAI
2011
14 years 3 months ago
2011
In many multi-agent applications such as distributed sensor nets, a network of agents act collaboratively under uncertainty and local interactions. Networked Distributed POMDP (ND...
131
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AAAI
2011
14 years 3 months ago
2011
One proposed approach to managing a large complex Smart Grid is through Broker Agents who buy electrical power from distributed producers, and also sell power to consumers, via a ...
127
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AAAI
2011
14 years 3 months ago
2011
We have carefully instrumented a large portion of the population living in a university graduate dormitory by giving participants Android smart phones running our sensing software...
135
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AAAI
2011
14 years 3 months ago
2011
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...