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» On higher-order perceptron algorithms
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ALT
2007
Springer
14 years 5 months ago
Learning Kernel Perceptrons on Noisy Data Using Random Projections
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Guillaume Stempfel, Liva Ralaivola
JMLR
2012
11 years 11 months ago
Learning Low-order Models for Enforcing High-order Statistics
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
Patrick Pletscher, Pushmeet Kohli
NPL
2000
112views more  NPL 2000»
13 years 8 months ago
Evolving Multilayer Perceptrons
Thispaper proposes anew version ofa method (G-Prop, geneticbackpropagation) that attempts to solve the problem of
Pedro A. Castillo Valdivieso, J. Carpio, Juan J. M...
CORR
2008
Springer
87views Education» more  CORR 2008»
13 years 8 months ago
Experts Fusion and Multilayer Perceptron Based on Belief Learning for Sonar Image Classification
The sonar images provide a rapid view of the seabed in order to characterize it. However, in such as uncertain environment, real seabed is unknown and the only information we can o...
Arnaud Martin, Christophe Osswald
ACL
2008
13 years 10 months ago
Joint Word Segmentation and POS Tagging Using a Single Perceptron
For Chinese POS tagging, word segmentation is a preliminary step. To avoid error propagation and improve segmentation by utilizing POS information, segmentation and tagging can be...
Yue Zhang 0004, Stephen Clark