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» Learning Evaluation Functions for Large Acyclic Domains
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FQAS
2006
Springer
106views Database» more  FQAS 2006»
13 years 9 months ago
A Functional Model for Data Analysis
We present a functional model for the analysis of large volumes of detailed transactional data, accumulated over time. In our model, the data schema is an acyclic graph with a sing...
Nicolas Spyratos
BMCBI
2011
13 years 10 days ago
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
Jesse Eickholt, Xin Deng, Jianlin Cheng
NIPS
2008
13 years 6 months ago
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
Francis Bach
BMCBI
2006
151views more  BMCBI 2006»
13 years 5 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
BIOINFORMATICS
2007
161views more  BIOINFORMATICS 2007»
13 years 5 months ago
Functional evaluation of domain-domain interactions and human protein interaction networks
: Large amounts of protein and domain interaction data are being produced by experimental high-throughput techniques and computational approaches. To gain insight into the value of...
Andreas Schlicker, Carola Huthmacher, Fidel Ram&ia...