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BMCBI
2010
109views more  BMCBI 2010»
14 years 10 months ago
Predicting gene function using hierarchical multi-label decision tree ensembles
Background: S. cerevisiae, A. thaliana and M. musculus are well-studied organisms in biology and the sequencing of their genomes was completed many years ago. It is still a challe...
Leander Schietgat, Celine Vens, Jan Struyf, Hendri...
AI
2003
Springer
15 years 3 months ago
Summarizing Web Sites Automatically
This research is directed towards automating the Web Site summarization task. To achieve this objective, an approach, which applies machine learning and natural language processing...
Yongzheng Zhang, A. Nur Zincir-Heywood, Evangelos ...
FUIN
2008
142views more  FUIN 2008»
14 years 10 months ago
Relational Transformation-based Tagging for Activity Recognition
Abstract. The ability to recognize human activities from sensory information is essential for developing the next generation of smart devices. Many human activity recognition tasks...
Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De R...
KCAP
2011
ACM
14 years 23 days ago
Integrating knowledge capture and supervised learning through a human-computer interface
Some supervised-learning algorithms can make effective use of domain knowledge in addition to the input-output pairs commonly used in machine learning. However, formulating this a...
Trevor Walker, Gautam Kunapuli, Noah Larsen, David...
ICML
2006
IEEE
15 years 10 months ago
Totally corrective boosting algorithms that maximize the margin
We consider boosting algorithms that maintain a distribution over a set of examples. At each iteration a weak hypothesis is received and the distribution is updated. We motivate t...
Gunnar Rätsch, Jun Liao, Manfred K. Warmuth