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» On Quality of Quality Measures for Classification
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ECML
2004
Springer
16 years 2 days ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
EKAW
2000
Springer
15 years 10 months ago
Torture Tests: A Quantitative Analysis for the Robustness of Knowledge-Based Systems
Abstract. The overall aim of this paper is to provide a general setting for quantitative quality measures of Knowledge-Based System behavior which is widely applicable to many Know...
Perry Groot, Frank van Harmelen, Annette ten Teije
JVCIR
2006
140views more  JVCIR 2006»
15 years 6 months ago
Improved H.264 rate control by enhanced MAD-based frame complexity prediction
This paper presents a revised rate control scheme based on an improved frame complexity measure. Rate control adopted by both MPEG-4 VM18 and H.264/AVC use a quadratic rate-distor...
Xiaoquan Yi, Nam Ling
CN
2008
108views more  CN 2008»
15 years 5 months ago
An approach to the identification of network elements composing heterogeneous end-to-end paths
Today's networks are becoming increasingly complex and the ability to effectively and efficiently operate and manage them is ever more challenging. Ways to provide end-to-end...
Alessio Botta, Antonio Pescapè, Giorgio Ven...
IPPS
2010
IEEE
15 years 4 months ago
A distributed diffusive heuristic for clustering a virtual P2P supercomputer
Abstract--For the management of a virtual P2P supercomputer one is interested in subgroups of processors that can communicate with each other efficiently. The task of finding these...
Joachim Gehweiler, Henning Meyerhenke