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EMNLP
2011
14 years 6 months ago
Training dependency parsers by jointly optimizing multiple objectives
We present an online learning algorithm for training parsers which allows for the inclusion of multiple objective functions. The primary example is the extension of a standard sup...
Keith Hall, Ryan T. McDonald, Jason Katz-Brown, Mi...
ICANN
2007
Springer
16 years 24 days ago
A Two-Layer ICA-Like Model Estimated by Score Matching
Abstract. Capturing regularities in high-dimensional data is an important problem in machine learning and signal processing. Here we present a statistical model that learns a nonli...
Urs Köster, Aapo Hyvärinen
FOCI
2007
IEEE
16 years 1 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
COR
2011
15 years 1 months ago
Size-reduction heuristics for the unrelated parallel machines scheduling problem
In this paper we study the unrelated parallel machines problem where n independent jobs must be assigned to one out of m parallel machines and the processing time of each job diï¬...
Luis Fanjul-Peyro, Rubén Ruiz
171
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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
15 years 11 months ago
Learning with Progressive Transductive Support Vector Machine
Support vector machine (SVM) is a new learning method developed in recent years based on the foundations of statistical learning theory. By taking a transductive approach instead ...
Yisong Chen, Guoping Wang, Shihai Dong