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BMCBI
2006
110views more  BMCBI 2006»
15 years 7 months ago
Bias in error estimation when using cross-validation for model selection
Background: Cross-validation (CV) is an effective method for estimating the prediction error of a classifier. Some recent articles have proposed methods for optimizing classifiers...
Sudhir Varma, Richard Simon
179
Voted
BMCBI
2007
102views more  BMCBI 2007»
15 years 6 months ago
Setting up a large set of protein-ligand PDB complexes for the development and validation of knowledge-based docking algorithms
Background: The number of algorithms available to predict ligand-protein interactions is large and ever-increasing. The number of test cases used to validate these methods is usua...
Luis A. Diago, Persy Morell, Longendri Aguilera, E...
FLAIRS
2011
14 years 10 months ago
Affective Text: Generation Strategies and Emotion Measurement Issues
In affective natural language generation (NLG) a major aim is to be able to influence the emotional effects evoked in the addressee through the intelligent use of language. While...
Ielka van der Sluis, Chris Mellish, Gavin Doherty
204
Voted
SIGSOFT
2007
ACM
16 years 7 months ago
Measuring empirical computational complexity
The standard language for describing the asymptotic behavior of algorithms is theoretical computational complexity. We propose a method for describing the asymptotic behavior of p...
Simon Goldsmith, Alex Aiken, Daniel Shawcross Wilk...
191
Voted
ICSE
2007
IEEE-ACM
16 years 7 months ago
Revel8or: Model Driven Capacity Planning Tool Suite
Designing complex multi-tier applications that must meet strict performance requirements is a challenging software engineering problem. Ideally, the application architect could de...
Liming Zhu, Yan Liu, Ngoc Bao Bui, Ian Gorton