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IWANN
2007
Springer
15 years 7 months ago
Non-parametric Residual Variance Estimation in Supervised Learning
The residual variance estimation problem is well-known in statistics and machine learning with many applications for example in the field of nonlinear modelling. In this paper, we...
Elia Liitiäinen, Amaury Lendasse, Francesco C...
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
15 years 6 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano
ICML
2004
IEEE
16 years 2 months ago
A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning
Hill-climbing search is the most commonly used search algorithm in ILP systems because it permits the generation of theories in short running times. However, a well known drawback...
Lourdes Peña Castillo, Stefan Wrobel
107
Voted
IJCNN
2008
IEEE
15 years 7 months ago
Learning adaptive subject-independent P300 models for EEG-based brain-computer interfaces
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
Shijian Lu, Cuntai Guan, Haihong Zhang
SEKE
2004
Springer
15 years 6 months ago
Automatic bug triage using text categorization
Bug triage, deciding what to do with an incoming bug report, is taking up increasing amount of developer resources in large open-source projects. In this paper, we propose to appl...
Davor Cubranic, Gail C. Murphy