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KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 8 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
EXPCS
2007
14 years 8 days ago
Towards user-centric metrics for denial-of-service measurement
To date, the measurement of user-perceived degradation of quality of service during denial of service (DoS) attacks remained an elusive goal. Current approaches mostly rely on low...
Jelena Mirkovic, Alefiya Hussain, Brett Wilson, So...
LREC
2008
75views Education» more  LREC 2008»
13 years 9 months ago
Experimental Fast-Tracking of Morphological Analysers for Nguni Languages
The development of natural language processing (NLP) components is resource-intensive and therefore justifies exploring ways of reducing development time and effort when building ...
Sonja E. Bosch, Laurette Pretorius, Kholisa Podile...
BMCBI
2007
147views more  BMCBI 2007»
13 years 8 months ago
Improved residue contact prediction using support vector machines and a large feature set
Background: Predicting protein residue-residue contacts is an important 2D prediction task. It is useful for ab initio structure prediction and understanding protein folding. In s...
Jianlin Cheng, Pierre Baldi
ICDM
2010
IEEE
108views Data Mining» more  ICDM 2010»
13 years 6 months ago
Assessing Data Mining Results on Matrices with Randomization
Abstract--Randomization is a general technique for evaluating the significance of data analysis results. In randomizationbased significance testing, a result is considered to be in...
Markus Ojala