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» Tangent Distance Kernels for Support Vector Machines
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EMNLP
2009
13 years 5 months ago
A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora
Because of the importance of proteinprotein interaction (PPI) extraction from text, many corpora have been proposed with slightly differing definitions of proteins and PPI. Since ...
Makoto Miwa, Rune Sætre, Yusuke Miyao, Jun-i...
ESANN
2008
13 years 9 months ago
GeoKernels: modeling of spatial data on geomanifolds
This paper presents a review of methodology for semi-supervised modeling with kernel methods, when the manifold assumption is guaranteed to be satisfied. It concerns environmental ...
Alexei Pozdnoukhov, Mikhail F. Kanevski
AAAI
2006
13 years 9 months ago
kFOIL: Learning Simple Relational Kernels
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
NIPS
2001
13 years 9 months ago
A Sequence Kernel and its Application to Speaker Recognition
A novel approach for comparing sequences of observations using an explicit-expansion kernel is demonstrated. The kernel is derived using the assumption of the independence of the ...
W. M. Campbell
ICDM
2003
IEEE
105views Data Mining» more  ICDM 2003»
14 years 28 days ago
SVM Based Models for Predicting Foreign Currency Exchange Rates
Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA bas...
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahm...