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CSL
2007
Springer
13 years 9 months ago
Discriminative n-gram language modeling
This paper describes discriminative language modeling for a large vocabulary speech recognition task. We contrast two parameter estimation methods: the perceptron algorithm, and a...
Brian Roark, Murat Saraclar, Michael Collins
NECO
2008
101views more  NECO 2008»
13 years 9 months ago
On the Classification Capability of Sign-Constrained Perceptrons
The perceptron (also referred to as McCulloch-Pitts neuron, or linear threshold gate) is commonly used as a simplified model for the discrimination and learning capability of a bi...
Robert A. Legenstein, Wolfgang Maass
NIPS
1994
13 years 11 months ago
On-line Learning of Dichotomies
The performance of on-line algorithms for learning dichotomies is studied. In on-line learning, the number of examples P is equivalent to the learning time, since each example is ...
N. Barkai, H. Sebastian Seung, Haim Sompolinsky
ICML
2004
IEEE
14 years 10 months ago
Links between perceptrons, MLPs and SVMs
We propose to study links between three important classification algorithms: Perceptrons, Multi-Layer Perceptrons (MLPs) and Support Vector Machines (SVMs). We first study ways to...
Ronan Collobert, Samy Bengio
CICLING
2007
Springer
14 years 3 months ago
Morphological Disambiguation of Turkish Text with Perceptron Algorithm
Abstract. This paper describes the application of the perceptron algorithm to the morphological disambiguation of Turkish text. Turkish has a productive derivational morphology. Du...
Hasim Sak, Tunga Güngör, Murat Saraclar