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» On higher-order perceptron algorithms
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ACL
2004
13 years 10 months ago
Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm
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, Mark...
EUROGP
2004
Springer
170views Optimization» more  EUROGP 2004»
14 years 5 days ago
Comparing Hybrid Systems to Design and Optimize Artificial Neural Networks
Abstract. In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of mul...
Pedro A. Castillo Valdivieso, Maribel Garcí...
ACL
2009
13 years 6 months ago
A Unified Single Scan Algorithm for Japanese Base Phrase Chunking and Dependency Parsing
We describe an algorithm for Japanese analysis that does both base phrase chunking and dependency parsing simultaneously in linear-time with a single scan of a sentence. In this p...
Manabu Sassano, Sadao Kurohashi
ICML
2008
IEEE
14 years 9 months ago
The projectron: a bounded kernel-based Perceptron
We present a discriminative online algorithm with a bounded memory growth, which is based on the kernel-based Perceptron. Generally, the required memory of the kernelbased Percept...
Francesco Orabona, Joseph Keshet, Barbara Caputo
IJCNN
2007
IEEE
14 years 2 months ago
Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent
—The 0/1 loss is an important cost function for perceptrons. Nevertheless it cannot be easily minimized by most existing perceptron learning algorithms. In this paper, we propose...
Ling Li, Hsuan-Tien Lin