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KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 6 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
KCAP
2011
ACM
14 years 9 months ago
Integrating knowledge capture and supervised learning through a human-computer interface
Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this a...
Trevor Walker, Gautam Kunapuli, Noah Larsen, David...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 6 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
LION
2007
Springer
192views Optimization» more  LION 2007»
16 years 18 days ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
EH
1999
IEEE
351views Hardware» more  EH 1999»
15 years 10 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...