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ALDT
2009
Springer
142views Algorithms» more  ALDT 2009»
16 years 1 months ago
Finding Best k Policies
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...
Peng Dai, Judy Goldsmith
IJCNN
2008
IEEE
16 years 1 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
HICSS
2007
IEEE
104views Biometrics» more  HICSS 2007»
16 years 1 months ago
Employees' Behavior towards IS Security Policy Compliance
The literature agrees that the major threat to IS security is constituted by careless employees who do not comply with organizations’ IS security policies and procedures. To add...
Seppo Pahnila, Mikko T. Siponen, M. Adam Mahmood
ICSE
2007
IEEE-ACM
16 years 28 days ago
Cost-Benefit Analysis of Software Development Techniques and Practices
Investigations of software development practices, processes, and techniques frequently report separately on the costs and benefits of a phenomenon under study, but rarely adequate...
Hakan Erdogmus
IJCNN
2006
IEEE
16 years 24 days ago
Semi-Supervised Model Selection Based on Cross-Validation
We propose a new semi-supervised model selection method that is derived by applying the structural risk minimization principle to a recent semi-supervised generalization error bou...
Matti Kaariainen