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» Neural Dynamics with Stochasticity
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NIPS
1998
15 years 2 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
98
Voted
CDC
2009
IEEE
122views Control Systems» more  CDC 2009»
15 years 1 months ago
Dynamic policy-based IDS configuration
Intrusion Detection System (IDS) is an important security enforcement tool in modern networked information systems. Obtaining an optimal IDS configuration for effective detection o...
Quanyan Zhu, Tamer Basar
96
Voted
JCC
2008
105views more  JCC 2008»
15 years 24 days ago
Retrieval of spectral and dynamic properties from two-dimensional infrared pump-probe experiments
Abstract: We have developed a fitting algorithm able to extract spectral and dynamic properties of a three level oscillator from a two-dimensional infrared spectrum (2D-IR) detecte...
Riccardo Chelli, Victor V. Volkov, Roberto Righini
118
Voted
JSAT
2008
113views more  JSAT 2008»
15 years 24 days ago
Combining Adaptive and Dynamic Local Search for Satisfiability
In this paper we describe a stochastic local search (SLS) procedure for finding models of satisfiable propositional formulae. This new algorithm, gNovelty+ , draws on the features...
Duc Nghia Pham, John Thornton, Charles Gretton, Ab...
109
Voted
TCOM
2010
133views more  TCOM 2010»
14 years 11 months ago
Transmission control in cognitive radio as a Markovian dynamic game: Structural result on randomized threshold policies
Abstract——This paper considers an uplink time division multiple access (TDMA) cognitive radio network where multiple cognitive radios (secondary users) attempt to access a spect...
J. Huang, V. Krishnamurthy