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BMCBI
2007
153views more  BMCBI 2007»
14 years 12 months ago
A new pairwise kernel for biological network inference with support vector machines
Background: Much recent work in bioinformatics has focused on the inference of various types of biological networks, representing gene regulation, metabolic processes, protein-pro...
Jean-Philippe Vert, Jian Qiu, William Stafford Nob...
BMCBI
2008
137views more  BMCBI 2008»
14 years 12 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
ECAI
2000
Springer
15 years 4 months ago
Similarity-based Approach to Relevance Learning
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Rickard Cöster, Lars Asker
EEE
2004
IEEE
15 years 3 months ago
A Methodology to Find Web Site Keywords
For many companies and/or institutions it is no longer sufficient to have a web site and high quality products or services. What in many cases makes the difference between success...
Juan D. Velásquez, Richard Weber, Hiroshi Y...
KES
2007
Springer
14 years 11 months ago
An Application of Machine Learning Methods to PM10 Level Medium-Term Prediction
The study described in this paper, analyzed the urban and suburban air pollution principal causes and identified the best subset of features (meteorological data and air pollutants...
Giovanni Raimondo, Alfonso Montuori, Walter Moniac...