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ISMB
1994
15 years 8 months ago
Stochastic Motif Extraction Using Hidden Markov Model
In this paper, westudy the application of an ttMM(hidden Markov model) to the problem of representing protein sequencesby a stochastic motif. Astochastic protein motif represents ...
Yukiko Fujiwara, Minoru Asogawa, Akihiko Konagaya
NN
2008
Springer
15 years 7 months ago
Multilayer in-place learning networks for modeling functional layers in the laminar cortex
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...
Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue
IJNSEC
2006
113views more  IJNSEC 2006»
15 years 7 months ago
An Identity-based Mediated Signature Scheme from Bilinear Pairing
It has always been a critical issue to find efficient methods for fast revocation of a user's identity in identity (ID)based cryptosystems. Unfortunately, none of the previou...
Xiangguo Cheng, Lifeng Guo, Xinmei Wang
ICTAI
2006
IEEE
16 years 1 months ago
Learning to Predict Salient Regions from Disjoint and Skewed Training Sets
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
16 years 26 days ago
Hot Item Mining and Summarization from Multiple Auction Web Sites
Online auction Web sites are fast changing, highly dynamic, and complex as they involve tremendous sellers and potential buyers, as well as a huge amount of items listed for biddi...
Tak-Lam Wong, Wai Lam