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» Using Machine Learning Techniques for Stylometry
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IR
2011
14 years 8 months ago
Learning to rank for why-question answering
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
Suzan Verberne, Hans van Halteren, Daphne Theijsse...
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...
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
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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
IJCAI
2007
15 years 2 months ago
Kernel Conjugate Gradient for Fast Kernel Machines
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
Nathan D. Ratliff, J. Andrew Bagnell