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RSFDGRC
2007
Springer
124views Data Mining» more  RSFDGRC 2007»
15 years 10 months ago
Supporting Literature Exploration with Granular Knowledge Structures
Reading and literature exploration are important tasks of scientific research. However, conventional retrieval systems provide limited support for these tasks by concentrating on ...
Yiyu Yao, Yi Zeng, Ning Zhong
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
16 years 4 months ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
ICML
2004
IEEE
16 years 5 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
CSB
2003
IEEE
176views Bioinformatics» more  CSB 2003»
15 years 9 months ago
3D Structural Homology Detection via Unassigned Residual Dipolar Couplings
Recognition of a protein’s fold provides valuable information about its function. While many sequence-based homology prediction methods exist, an important challenge remains: tw...
Christopher James Langmead, Bruce Randall Donald
NIPS
2007
15 years 5 months ago
Random Projections for Manifold Learning
We propose a novel method for linear dimensionality reduction of manifold modeled data. First, we show that with a small number M of random projections of sample points in RN belo...
Chinmay Hegde, Michael B. Wakin, Richard G. Barani...