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TCS
2008
15 years 3 months ago
Modeling spiking neural networks
A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematica...
Ioannis D. Zaharakis, Achilles D. Kameas
JMLR
2010
128views more  JMLR 2010»
15 years 2 months ago
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models
Maximum entropy (Maxent) is useful in natural language processing and many other areas. Iterative scaling (IS) methods are one of the most popular approaches to solve Maxent. With...
Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih...
EMNLP
2010
15 years 2 months ago
Confidence in Structured-Prediction Using Confidence-Weighted Models
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Avihai Mejer, Koby Crammer
137
Voted
MA
2011
Springer
188views Communications» more  MA 2011»
14 years 11 months ago
A copula-based model of speculative price dynamics in discrete time
This paper suggests a new technique to construct first order Markov processes using products of copula functions, in the spirit of Darsow et al. (1992). The approach requires the...
Umberto Cherubini, Sabrina Mulinacci, Silvia Romag...
208
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Interpolation based on stationary and adaptive AR(1) modeling
In this paper, we describe a minimal mean square error (MMSE) optimal interpolation filter for discrete random signals. We explicitly derive the interpolation filter for a firs...
Eija Johansson, Marie Strom, Mats Viberg, Lennart ...