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» Predicting Time Series with Support Vector Machines
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149
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JMLR
2010
185views more  JMLR 2010»
14 years 10 months 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...
128
Voted
NN
2006
Springer
15 years 3 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 3 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 14 days 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 1 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