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COLING
2008
15 years 8 months ago
Good Neighbors Make Good Senses: Exploiting Distributional Similarity for Unsupervised WSD
We present an automatic method for senselabeling of text in an unsupervised manner. The method makes use of distributionally similar words to derive an automatically labeled train...
Samuel Brody, Mirella Lapata
ACL
2004
15 years 7 months ago
Incremental Parsing with the Perceptron Algorithm
This paper describes an incremental parsing approach where parameters are estimated using a variant of the perceptron algorithm. A beam-search algorithm is used during both traini...
Michael Collins, Brian Roark
ICANN
2010
Springer
15 years 7 months ago
Accelerating Large-Scale Convolutional Neural Networks with Parallel Graphics Multiprocessors
Training convolutional neural networks (CNNs) on large sets of high-resolution images is too computationally intense to be performed on commodity CPUs. Such architectures however ...
Dominik Scherer, Hannes Schulz, Sven Behnke
ICEIS
2009
IEEE
15 years 4 months ago
Pattern Recognition for Downhole Dynamometer Card in Oil Rod Pump System using Artificial Neural Networks
: This paper presents the development of an Artificial Neural Network system for Dynamometer Card pattern recognition in oil well rod pump systems. It covers the establishment of p...
Marco A. D. Bezerra, Leizer Schnitman, Manuel de A...
ICPR
2004
IEEE
16 years 7 months ago
Selective Sampling Based on the Variation in Label Assignments
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
Piotr Juszczak, Robert P. W. Duin