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» Improving Rule Evaluation Using Multitask Learning
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150
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JMLR
2010
148views more  JMLR 2010»
14 years 7 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
96
Voted
ICAC
2008
IEEE
15 years 7 months ago
Guided Problem Diagnosis through Active Learning
There is widespread interest today in developing tools that can diagnose the cause of a system failure accurately and efficiently based on monitoring data collected from the syst...
Songyun Duan, Shivnath Babu
SDM
2011
SIAM
256views Data Mining» more  SDM 2011»
14 years 3 months ago
Temporal Structure Learning for Clustering Massive Data Streams in Real-Time
This paper describes one of the first attempts to model the temporal structure of massive data streams in real-time using data stream clustering. Recently, many data stream clust...
Michael Hahsler, Margaret H. Dunham
82
Voted
ICPR
2004
IEEE
16 years 1 months ago
Neural Network-Based Proper Names Extraction in Fax Images
In this paper, we are interested in the sender's name extraction in fax cover pages through a machine learning scheme. For this purpose, two analysis methods are implemented ...
Laurence Likforman-Sulem, Noura Azzabou
89
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CAV
2005
Springer
99views Hardware» more  CAV 2005»
15 years 6 months ago
Automated Assume-Guarantee Reasoning for Simulation Conformance
Abstract. We address the issue of efficiently automating assume-guarantee reasoning for simulation conformance between finite state systems and specifications. We focus on a non...
Sagar Chaki, Edmund M. Clarke, Nishant Sinha, Pras...