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» On-line Algorithms in Machine Learning
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BMCBI
2008
88views more  BMCBI 2008»
15 years 2 months ago
Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable
Background: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Na
Myron Peto, Andrzej Kloczkowski, Vasant Honavar, R...
103
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ICMLA
2007
15 years 3 months ago
SVMotif: A Machine Learning Motif Algorithm
We describe SVMotif, a support vector machine-based learning algorithm for identification of cellular DNA transcription factor (TF) motifs extrapolated from known TF-gene interact...
Mark A. Kon, Yue Fan, Dustin T. Holloway, Charles ...
119
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ACTAC
2006
126views more  ACTAC 2006»
15 years 2 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
193
Voted
VLSISP
2011
358views Database» more  VLSISP 2011»
14 years 9 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...
JAIR
2008
78views more  JAIR 2008»
15 years 2 months ago
Analogical Dissimilarity: Definition, Algorithms and Two Experiments in Machine Learning
Laurent Miclet, Sabri Bayoudh, Arnaud Delhay