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HIS
2008
13 years 11 months ago
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Salvador García, Francisco Herrera
MVA
2007
146views Computer Vision» more  MVA 2007»
13 years 11 months ago
Machine Vision Based Lumber Grain Measurement
In this paper, measurement of wood grains is discussed. A number of image processing techniques are first applied to images of all four long surfaces of sawn lumber. This gives u...
Matti Niskanen, Olli Silvén
ACL
2006
13 years 11 months ago
Trace Prediction and Recovery with Unlexicalized PCFGs and Slash Features
This paper describes a parser which generates parse trees with empty elements in which traces and fillers are co-indexed. The parser is an unlexicalized PCFG parser which is guara...
Helmut Schmid
ACL
2006
13 years 11 months ago
A Fast, Accurate Deterministic Parser for Chinese
We present a novel classifier-based deterministic parser for Chinese constituency parsing. Our parser computes parse trees from bottom up in one pass, and uses classifiers to make...
Mengqiu Wang, Kenji Sagae, Teruko Mitamura
EMNLP
2006
13 years 11 months ago
Extremely Lexicalized Models for Accurate and Fast HPSG Parsing
This paper describes an extremely lexicalized probabilistic model for fast and accurate HPSG parsing. In this model, the probabilities of parse trees are defined with only the pro...
Takashi Ninomiya, Takuya Matsuzaki, Yoshimasa Tsur...