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» On the Algorithmic Implementation of Stochastic Discriminati...
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WSC
2008
14 years 12 months ago
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Abhijit Gosavi
ICPR
2008
IEEE
15 years 4 months ago
Fuzzy maximum scatter discriminant analysis and its application to face recognition
In this paper, a reformative scatter difference discriminant criterion (SDDC) with fuzzy set theory is studied. The scatter difference between between-class and within-class as di...
Jianguo Wang, Wankou Yang, Jingyu Yang
HASE
1998
IEEE
15 years 1 months ago
Optimal Discrimination between Transient and Permanent Faults
An important practical problem in fault diagnosis is discriminating between permanent faults and transient faults. In many computer systems, the majority of errors are due to tran...
M. Pizza, Lorenzo Strigini, Andrea Bondavalli, Fel...
ICAIL
2009
ACM
15 years 4 months ago
Integrating induction and deduction for finding evidence of discrimination
Automatic Decision Support Systems (DSS) are widely adopted for screening purposes in socially sensitive tasks, including access to credit, mortgage, insurance, labor market and o...
Dino Pedreschi, Salvatore Ruggieri, Franco Turini
JMLR
2011
148views more  JMLR 2011»
14 years 4 months ago
Multitask Sparsity via Maximum Entropy Discrimination
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
Tony Jebara