Scalable Algorithms for String Kernels with Inexact Matching

by Pavel P. Kuksa , Pai-hsi Huang , Vladimir Pavlovic
Citations:8 - 4 self

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Generalized Similarity Kernels for Efficient Sequence Classification – Pavel P. Kuksa, Imdadullah Khan, Vladimir Pavlovic - 2012
133 FAST AND ACCURATE MULTI-CLASS PROTEIN FOLD RECOGNITION WITH SPATIAL SAMPLE – Pavel Kuksa, Pai-hsi Huang, Vladimir Pavlovic
Kernel Methods and Algorithms for General Sequence Analysis – Pavel P. Kuksa, Pai-hsi Huang, Vladimir Pavlovic - 2008
1 Semi-Supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction – Pavel Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning
1 Fast Kernel Methods for SVM Sequence Classifiers – Pavel Kuksa, Vladimir Pavlovic
Efficient Sequence Classification with Spatial Representations – Pavel P. Kuksa, Vladimir Pavlovic
Spatially-constrained sample kernel for sequence classification – Pavel P. Kuksa, Pai-hsi Huang, Vladimir Pavlovic
3 Bounded Coordinate-Descent for Biological Sequence Classification in High Dimensional Predictor Space ABSTRACT – Georgiana Ifrim
A Review of Support Vector Machines in Computational Biology – Brett Naul - 2009
Recognition – Huzefa Rangwala, George Karypis, Huzefa Rangwala, George Karypis
7 Building multiclass classifiers for remote homology detection and fold recognition – Huzefa Rangwala, George Karypis
new – Laurent Jacob - 2008
11 Profile based direct kernels for remote homology detection and fold recognition – Huzefa Rangwala, George Karypis - 2005
Bioinformatics Advance Access published January 22, 2004 – Christina Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston, William Stafford Noble
134 Mismatch string kernels for discriminative protein classification – Christina S. Leslie, Eleazar Eskin, Adiel Cohen, Jason Weston, William Stafford Noble - 2004
42 Fast string kernels using inexact matching for protein sequences – Christina Leslie, Rui Kuang, Kristin Bennett - 2004
3DString: A Feature String Kernel for 3D Object Classification on Voxelized Data – Johannes AƟfalg, Karsten M. Borgwardt, Hans-peter Kriegel - 2006
9 Multi-class protein classification using adaptive codes – Iain Melvin, Eugene Ie, Jason Weston, William Stafford Noble, Christina Leslie
Learning Random-Walk Kernels for Protein Remote Homology Identification and Motif Discovery – Renqiang Min, Rui Kuang, Anthony Bonner, Zhaolei Zhang