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CIKM
2010
Springer
15 years 4 months ago
A unified optimization framework for robust pseudo-relevance feedback algorithms
We present a flexible new optimization framework for finding effective, reliable pseudo-relevance feedback models that unifies existing complementary approaches in a principled wa...
Joshua V. Dillon, Kevyn Collins-Thompson
BMCBI
2007
143views more  BMCBI 2007»
15 years 6 months ago
An adaptive bin framework search method for a beta-sheet protein homopolymer model
Background: The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This probl...
Alena Shmygelska, Holger H. Hoos
EDOC
2008
IEEE
16 years 1 months ago
Augmenting the Zachman Enterprise Architecture Framework with a Systemic Conceptualization
The Zachman Framework offers a classification of the models created in an enterprise architecture project. These models form a holistic representation of the organization. Despite...
Alain Wegmann, Anders Kotsalainen, Lionel Matthey,...
INFOCOM
2011
IEEE
14 years 10 months ago
Throughput and delay scaling of general cognitive networks
—There has been recent interest within the networking research community to understand how performance scales in cognitive networks with overlapping n primary nodes and m seconda...
Wentao Huang, Xinbing Wang
SIGIR
2012
ACM
13 years 9 months ago
Learning to suggest: a machine learning framework for ranking query suggestions
We consider the task of suggesting related queries to users after they issue their initial query to a web search engine. We propose a machine learning approach to learn the probab...
Umut Ozertem, Olivier Chapelle, Pinar Donmez, Emre...