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NN
2006
Springer
127views Neural Networks» more  NN 2006»
13 years 7 months ago
The asymptotic equipartition property in reinforcement learning and its relation to return maximization
We discuss an important property called the asymptotic equipartition property on empirical sequences in reinforcement learning. This states that the typical set of empirical seque...
Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
DAC
1999
ACM
14 years 8 months ago
Behavioral Synthesis Techniques for Intellectual Property Protection
? The economic viability of the reusable core-based design paradigm depends on the development of techniques for intellectual property protection. We introduce the first dynamic wa...
Inki Hong, Miodrag Potkonjak
JCC
2007
127views more  JCC 2007»
13 years 7 months ago
Prediction of GFP spectral properties using artificial neural network
Abstract: In this study, we applied artificial neural network, implementing the backpropagation algorithm, for the prediction of the excitation and emission maxima of green fluores...
Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ay...
ICFEM
2004
Springer
14 years 1 months ago
Learning to Verify Safety Properties
We present a novel approach for verifying safety properties of finite state machines communicating over unbounded FIFO channels that is based on applying machine learning techniqu...
Abhay Vardhan, Koushik Sen, Mahesh Viswanathan, Gu...
SIGCOMM
1999
ACM
14 years 5 days ago
On Estimating End-to-End Network Path Properties
The more information about current network conditions available to a transport protocol, the more efficiently it can use the network to transfer its data. In networks such as the...
Mark Allman, Vern Paxson