ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
This paper presents a nativeness classifier for English. The detector was developed and tested with TED Talks collected from the web, where the major non-native cues are in terms...
JMLR
2010
13 years 6 months ago
2010
This paper proposes a novel algorithm for semisupervised learning. This algorithm learns graph cuts that maximize the margin with respect to the labels induced by the harmonic fun...
IJBI
2010
13 years 6 months ago
2010
Size Functions and Support Vector Machines are used to implement a new automatic classifier of melanocytic lesions. This is mainly based on a qualitative assessment of asymmetry, ...
JMLR
2011
13 years 6 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
CMIG
2010
13 years 6 months ago
2010
This paper presents a novel method for unsupervised DNA microarray gridding based on Support Vector Machines (SVMs). Each spot is a small region on the microarray surface where cha...
CICLING
2010
Springer
13 years 6 months ago
2010
Springer
The Arabic language is a highly flexional and morphologically very rich language. It presents serious challenges to the automatic classification of documents, one of which is deter...
BMCBI
2011
13 years 6 months ago
2011
Background: Most predictive methods currently available for the identification of protein secretion mechanisms have focused on classically secreted proteins. In fact, only two met...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Recently, applying the novel data mining techniques for evaluating enterprise financial distress has received much research alternation. Support Vector Machine (SVM) and back prop...
CSDA
2010
13 years 8 months ago
2010
A modified active subset selection method based on quadratic R
ICASSP
2009
IEEE
13 years 9 months ago
2009
IEEE
In an attempt to overcome problems associated with articulatory limitations and generative models, this work considers the use of phonological features in discriminative models fo...