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» An Introduction to Learning Structured Information
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DMKD
2003
ACM
110views Data Mining» more  DMKD 2003»
15 years 3 months ago
Weave amino acid sequences for protein secondary structure prediction
Given a known protein sequence, predicting its secondary structure can help understand its three-dimensional (tertiary) structure, i.e., the folding. In this paper, we present an ...
Xiaochun Yang, Bin Wang

Book
747views
16 years 6 months ago
Data Structures and Algorithms with Object-Oriented Design Patterns in C++
"This book is about the fundamentals of data structures and algorithms--the basic elements from which large and complex software artifacts are built. To develop a solid unders...
Bruno R. Preiss
WWW
2009
ACM
15 years 10 months ago
Incorporating site-level knowledge to extract structured data from web forums
Web forums have become an important data resource for many web applications, but extracting structured data from unstructured web forum pages is still a challenging task due to bo...
Jiang-Ming Yang, Rui Cai, Yida Wang, Jun Zhu, Lei ...
IJDMB
2010
216views more  IJDMB 2010»
14 years 8 months ago
Struct-NB: predicting protein-RNA binding sites using structural features
: We explore whether protein-RNA interfaces differ from non-interfaces in terms of their structural features and whether structural features vary according to the type of the bound...
Fadi Towfic, Cornelia Caragea, David C. Gemperline...
NIPS
1998
14 years 11 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand