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» Predicting Time Series with Support Vector Machines
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JMLR
2010
185views more  JMLR 2010»
15 years 8 days ago
Multiple Kernel Learning on the Limit Order Book
Simple features constructed from order book data for the EURUSD currency pair were used to construct a set of kernels. These kernels were used both individually and simultaneously...
Tristan Fletcher, Zakria Hussain, John Shawe-Taylo...
NN
2006
Springer
15 years 5 months ago
Machine learning in soil classification
In a number of engineering problems, e.g. in geotechnics, petroleum engineering, etc. intervals of measured series data (signals) are to be attributed a class maintaining the cons...
Biswanath Bhattacharya, Dimitri P. Solomatine
BMCBI
2010
130views more  BMCBI 2010»
15 years 5 months ago
Amino acid "little Big Bang": Representing amino acid substitution matrices as dot products of Euclidian vectors
Background: Sequence comparisons make use of a one-letter representation for amino acids, the necessary quantitative information being supplied by the substitution matrices. This ...
Karel Zimmermann, Jean-François Gibrat
ICCD
2006
IEEE
103views Hardware» more  ICCD 2006»
16 years 2 months ago
Architectural Support for Run-Time Validation of Control Flow Transfer
—Current micro-architecture blindly uses the address in the program counter to fetch and execute instructions without validating its legitimacy. Whenever this blind-folded instru...
Yixin Shi, Sean Dempsey, Gyungho Lee
ICCV
2009
IEEE
15 years 3 months ago
Structural SVM for visual localization and continuous state estimation
We present an integrated model for visual object localization and continuous state estimation in a discriminative structured prediction framework. While existing discriminative `p...
Catalin Ionescu, Liefeng Bo, Cristian Sminchisescu