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» Learning Distance Functions using Equivalence Relations
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FOCS
2008
IEEE
15 years 4 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
ICALP
2009
Springer
15 years 10 months ago
Approximating Markov Processes by Averaging
We take a dual view of Markov processes ? advocated by Kozen ? as transformers of bounded measurable functions. We redevelop the theory of labelled Markov processes from this view ...
Philippe Chaput, Vincent Danos, Prakash Panangaden...
ICALT
2005
IEEE
15 years 3 months ago
Integrating Wireless Technology in Pocket Electronic Dictionary to Enhance Language Learning
We believe that with regard to the information technology applications in education, one student one computing device will be the future and long-term trend. Many related studies ...
Jen-Kai Liang, Tzu-Chien Liu, Hsue-Yie Wang, Tak-W...
EVOW
2009
Springer
15 years 4 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
ATAL
2005
Springer
15 years 3 months ago
Behavior transfer for value-function-based reinforcement learning
Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been...
Matthew E. Taylor, Peter Stone