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COLING
2010
15 years 1 months ago
Leveraging Multiple MT Engines for Paraphrase Generation
This paper proposes a method that leverages multiple machine translation (MT) engines for paraphrase generation (PG). The method includes two stages. Firstly, we use a multi-pivot...
Shiqi Zhao, Haifeng Wang, Xiang Lan, Ting Liu
JMLR
2010
185views more  JMLR 2010»
15 years 1 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...
191
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ICASSP
2011
IEEE
14 years 10 months ago
Speaker recognition using multiple kernel learning based on conditional entropy minimization
We applied a multiple kernel learning (MKL) method based on information-theoretic optimization to speaker recognition. Most of the kernel methods applied to speaker recognition sy...
Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru...
CEC
2011
IEEE
14 years 6 months ago
Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems
—Over the last two decades, many Differential Evolution (DE) strategies have been introduced for solving Optimization Problems. Due to the variability of the characteristics in o...
Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam
EMMCVPR
2011
Springer
14 years 6 months ago
Multiple-Instance Learning with Structured Bag Models
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
Jonathan Warrell, Philip H. S. Torr