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» Pseudorandom numbers and entropy conditions
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ICML
2003
IEEE
14 years 9 months ago
Hidden Markov Support Vector Machines
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofm...
BERTINORO
2005
Springer
14 years 2 months ago
Self-Management of Virtual Paths in Dynamic Networks
Abstract Virtual path management in dynamic networks poses a number of challenges related to combinatorial optimisation, fault and traffic handling. Ideally such management should ...
Poul E. Heegaard, Otto Wittner, Bjarne E. Helvik
MCS
2001
Springer
14 years 1 months ago
Automatic Model Selection in a Hybrid Perceptron/Radial Network
We provide several enhancements to our previously introduced algorithm for a sequential construction of a hybrid network of radial and perceptron hidden units [6]. At each stage, ...
Shimon Cohen, Nathan Intrator
TSP
2008
71views more  TSP 2008»
13 years 8 months ago
Multiple Description Trellis-Coded Quantization of Sinusoidal Parameters
A new scheme for sinusoidal audio coding named multiple description spherical trellis-coded quantization is proposed and analytic expressions for the point densities and expected d...
Morten Holm Larsen, Mads Græsbøll Chr...
JMLR
2010
153views more  JMLR 2010»
13 years 3 months ago
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
Gideon S. Mann, Andrew McCallum