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PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
16 years 19 days ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
Tobias Jung, Peter Stone
AUTONOMICS
2009
ACM
16 years 19 days ago
Sensor Selection for IT Infrastructure Monitoring
Supervisory control is the main means to assure a high level performance and availability of large IT infrastructures. Applied control theory is used in physical and virtualization...
Gergely János Paljak, Imre Kocsis, Zolt&aac...
138
Voted
DATE
2008
IEEE
102views Hardware» more  DATE 2008»
16 years 17 days ago
A New Approach for Combining Yield and Performance in Behavioural Models for Analogue Integrated Circuits
A new algorithm is presented that combines performance and variation objectives in a behavioural model for a given analogue circuit topology and process. The tradeoffs between per...
Sawal Ali, Reuben Wilcock, Peter R. Wilson, Andrew...
139
Voted
DSN
2008
IEEE
16 years 17 days ago
Automated duplicate detection for bug tracking systems
Bug tracking systems are important tools that guide the maintenance activities of software developers. The utility of these systems is hampered by an excessive number of duplicate...
Nicholas Jalbert, Westley Weimer
160
Voted
ICAC
2008
IEEE
16 years 17 days ago
CARVE: A Cognitive Agent for Resource Value Estimation
Recently, industry has begun investigating and moving towards utility computing, where computational resources (processing, memory and I/O) are availably on demand at a market cos...
Jonathan Wildstrom, Peter Stone, Emmett Witchel