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Disambiguation of "Pan, Yi"

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Protein secondary structure prediction using support vector machine with advanced encoding schemes.

, , , and . Data Mining and Knowledge Discovery: Theory, Tools, and Technology, volume 5433 of SPIE Proceedings, page 80-87. SPIE, (2004)

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Yi Pan

Petra Pan

Xiaoqing Pan

Weiqing Pan

Alexey Pan

 

Other publications of authors with the same name

Characterizations of Communication Overhead for Scalable Random Parallel Algorithms on Multicomputer Systems., and . PDPTA, page 474-485. CSREA Press, (1996)An Improved Genetic Algorithm for Multiprocessor Task Scheduling with Non-Negligible Inter-processor Communication Delay., , , , and . MAICS, page 165-172. Omnipress, (2003)Fast nearest Neighbor Algorithms on a Linear Array with a Reconfigurable Pipelined Bus System., , and . Parallel Algorithms Appl., 13 (1): 1-25 (1998)Path selection with class distribution information in the integrated network., , , and . IEEE Communications Letters, 6 (2): 88-90 (2002)Teaching Parallel Programming Using Both High-Level and Low-Level Languages.. International Conference on Computational Science (3), volume 2331 of Lecture Notes in Computer Science, page 888-897. Springer, (2002)A Study of Average-Case Speedup and Scalability of Parallel Computations on Static Networks., , , and . PDPTA, page 1362-. CSREA Press, (1997)A Feature Selection Algorithm Based on Graph Theory and Random Forests for Protein Secondary Structure Prediction., , , , and . ISBRA, volume 4463 of Lecture Notes in Computer Science, page 590-600. Springer, (2007)NEURONgrid: A Toolkit for Generating Parameter-Space Maps Using NEURON in a Grid Environment., , , , and . ISBRA, volume 4463 of Lecture Notes in Computer Science, page 182-191. Springer, (2007)Introduction: recent Developments in Parallel and Distributed Data Mining, and . Distributed and Parallel Databases, (2002)This is an introduction to four articles about Knowledge Discovery in Databases, KDD. It makes the statement that the key challenge in data mining is the extraction of knowledge and insight from massive databases. Data mining has the two primary goals of prediction and verification. Prediction is about predicting the unknown values of attributes of interest based on a trained model. The data mining process is being divided into data selection, data cleansing, data transformation, data reduction, data mining, algorithm selection, post processing, and interpolation..Cysteine separations profiles on protein secondary structure infer disulfide connectivity., , , , and . GrC, page 663-665. IEEE, (2006)