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ICML
2005
IEEE
16 years 8 months ago
Large scale genomic sequence SVM classifiers
In genomic sequence analysis tasks like splice site recognition or promoter identification, large amounts of training sequences are available, and indeed needed to achieve suffici...
Bernhard Schölkopf, Gunnar Rätsch, S&oum...
IJCNN
2008
IEEE
16 years 1 months ago
Shedding weights: More with less
—Traditional connectionist classification models place an emphasis on learned synaptic weights. Based on neurobiological evidence, a new approach is developed and experimentally ...
Tsvi Achler, Cyrus Omar, Eyal Amir
ICDAR
2007
IEEE
16 years 1 months ago
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images
We describe an unsupervised learning algorithm for extracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of invari...
Marc'Aurelio Ranzato, Yann LeCun
ISPW
2007
IEEE
16 years 1 months ago
Comparative Experiences with Electronic Process Guide Generator Tools
The primary objective of all software engineering courses is to help students learn how to develop successful software systems with good software engineering practices. Various too...
Monvorath Phongpaibul, Supannika Koolmanojwong, Al...
IJCNLP
2004
Springer
16 years 24 days ago
The Use of SVM for Chinese New Word Identification
We present a study of new word identification (NWI) to improve the performance of a Chinese word segmenter. In this paper the distribution and types of new words are discussed emp...
Hongqiao Li, Changning Huang, Jianfeng Gao, Xiaozh...