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» Risk Sensitive Reinforcement Learning
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CORR
2010
Springer
134views Education» more  CORR 2010»
13 years 7 months ago
Large Margin Multiclass Gaussian Classification with Differential Privacy
As increasing amounts of sensitive personal information is aggregated into data repositories, it has become important to develop mechanisms for processing the data without revealin...
Manas A. Pathak, Bhiksha Raj
ICMLA
2010
13 years 5 months ago
Robust Learning for Adaptive Programs by Leveraging Program Structure
Abstract--We study how to effectively integrate reinforcement learning (RL) and programming languages via adaptation-based programming, where programs can include non-deterministic...
Jervis Pinto, Alan Fern, Tim Bauer, Martin Erwig
FECS
2007
86views Education» more  FECS 2007»
13 years 9 months ago
Providing Experiential Learning Through Transnational Teamwork
- The requirement for high standards of professionalism in graduating Computer Science and Information Technology students suggests the applicability of experiential learning. This...
Kirsten Wahlstrom, Susan Tyerman, Rebecca Witt, Ky...
IEEECIT
2010
IEEE
13 years 5 months ago
Learning Autonomic Security Reconfiguration Policies
Abstract--We explore the idea of applying machine learning techniques to automatically infer risk-adaptive policies to reconfigure a network security architecture when the context ...
Juan E. Tapiador, John A. Clark
DEXAW
1999
IEEE
152views Database» more  DEXAW 1999»
13 years 12 months ago
Advanced Metrics for Class-Driven Similarity Search
This paper presents two metrics for the Nearest Neighbor Classifier that share the property of being adapted, i.e. learned, on a set of data. Both metrics can be used for similari...
Paolo Avesani, Enrico Blanzieri, Francesco Ricci