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ICDM
2005
IEEE
185views Data Mining» more  ICDM 2005»
15 years 3 months ago
Semi-Supervised Mixture of Kernels via LPBoost Methods
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Jinbo Bi, Glenn Fung, Murat Dundar, R. Bharat Rao
ENTCS
2008
122views more  ENTCS 2008»
14 years 10 months ago
Concurrency in Biological Modeling: Behavior, Execution and Visualization
Modeling natural systems is a complicated task that involves the concurrent behavior of various processes, mechanisms and objects. Here, we describe an approach that we have been ...
David Harel, Yaki Setty, Sol Efroni, Naamah Swerdl...
CDC
2009
IEEE
161views Control Systems» more  CDC 2009»
14 years 11 months ago
Quadratic Programming based data assimilation with passive drifting sensors for shallow water flows
We present a method for assimilating Lagrangian sensor measurement data into a Shallow Water Equation model. Using our method, the variational data assimilation problem is formulat...
Andrew Tinka, Issam S. Strub, Qingfang Wu, Alexand...
CIBB
2008
14 years 12 months ago
Curating a Large-Scale Regulatory Network by Evaluating Its Consistency with Expression Datasets
Abstract. The analysis of large-scale regulatory models using data issued from genome-scale high-throughput experimental techniques is an actual challenge in the systems biology fi...
Carito Guziolowski, Jeremy Gruel, Ovidiu Radulescu...
IJIT
2004
14 years 11 months ago
A Comparison of First and Second Order Training Algorithms for Artificial Neural Networks
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
Syed Muhammad Aqil Burney, Tahseen Ahmed Jilani, C...