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122
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ANSOFT
1999
74views more  ANSOFT 1999»
15 years 4 months ago
On Coping with Real-Time Software Dynamic Inconsistency by Built-in Tests
In real-time systems, dynamic inconsistencies of software are hardly detected, diagnosed and handled. A built-in test (BIT) method is developed to cope with software dynamic incon...
Yingxu Wang, Graham King, Dilip Patel, Shushma Pat...
131
Voted
CEC
2010
IEEE
15 years 1 months ago
Improving evolutionary testing by means of efficiency enhancement techniques
TestFul is a novel evolutionary testing approach for object-oriented programs with complex internal states. In our preliminary experiments, it already outperformed some of the well...
Matteo Miraz, Pier Luca Lanzi, Luciano Baresi
MS
2003
15 years 6 months ago
Information-theoretic Competitive Learning
— In this paper, we propose a new supervised learning method whereby information is controlled by the associated cost in an intermediate layer, and in an output layer, errors bet...
Ryotaro Kamimura
137
Voted
CORR
2011
Springer
127views Education» more  CORR 2011»
14 years 8 months ago
Generalized Boosting Algorithms for Convex Optimization
Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks,...
Alexander Grubb, J. Andrew Bagnell
183
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JMLR
2012
13 years 7 months ago
Contextual Bandit Learning with Predictable Rewards
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
Alekh Agarwal, Miroslav Dudík, Satyen Kale,...