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» Input Modeling Using Quantile Statistical Methods
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BC
2004
94views more  BC 2004»
15 years 3 months ago
An adaptive neuro-fuzzy method ( ANFIS) for estimating single-trial movement-related potentials
Abstract. This study aims to recover transient, trialvarying evoked potentials (EPs), in particular the movement-related potentials (MRPs), embedded within the background cerebral ...
D. D. Ben Dayan Rubin, G. Baselli, Gideon F. Inbar...
ACL
2010
15 years 1 months ago
Optimising Information Presentation for Spoken Dialogue Systems
We present a novel approach to Information Presentation (IP) in Spoken Dialogue Systems (SDS) using a data-driven statistical optimisation framework for content planning and attri...
Verena Rieser, Oliver Lemon, Xingkun Liu
CORR
2008
Springer
80views Education» more  CORR 2008»
15 years 3 months ago
Multi-Layer Perceptrons and Symbolic Data
In some real world situations, linear models are not sufficient to represent accurately complex relations between input variables and output variables of a studied system. Multila...
Fabrice Rossi, Brieuc Conan-Guez
132
Voted
ET
2000
145views more  ET 2000»
15 years 3 months ago
Fast Test Pattern Generation for Sequential Circuits Using Decision Diagram Representations
The paper presents a novel hierarchical approach to test pattern generation for sequential circuits based on an input model of mixed-level decision diagrams. A method that handles,...
Jaan Raik, Raimund Ubar
LREC
2010
148views Education» more  LREC 2010»
15 years 4 months ago
POS Multi-tagging Based on Combined Models
In the POS tagging task, there are two kinds of statistical models: one is generative model, such as the HMM, the others are discriminative models, such as the Maximum Entropy Mod...
Yan Zhao, Gertjan van Noord