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» Learning with Continuous Experts Using Drifting Games
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DEXA
2010
Springer
138views Database» more  DEXA 2010»
13 years 4 months ago
Enrichment of Raw Sensor Data to Enable High-Level Queries
Abstract. Sensor networks are increasingly used across various application domains. Their usage has the advantage of automated, often continuous, monitoring of activities and event...
Kenneth Conroy, Mark Roantree
AAMAS
2002
Springer
13 years 6 months ago
Adapting Populations of Agents
We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investi...
Philippe De Wilde, Maria Chli, Luís Correia...
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 10 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...
CVPR
2007
IEEE
14 years 8 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
UAI
2007
13 years 7 months ago
Indirectly Visible Bayesian Student Models
Inspectable Bayesian student models have been used to support student reflection, knowledge awareness and communication among teacher, students and parents. This paper presents a...
Juan-Diego Zapata-Rivera