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Book
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17 years 1 months ago
Machine Learning, Neural and Statistical Classification
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks Methods ...
Ellis Horwood
110
Voted
ICCBR
2005
Springer
15 years 9 months ago
Learning Semantic Annotations for Textual Cases
Abstract. In this paper, we propose an approach to attach semantic annotations to textual cases for their representation. To achieve this goal, a framework that combines machine le...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
109
Voted
IJCAI
2001
15 years 4 months ago
Relational Learning via Propositional Algorithms: An Information Extraction Case Study
This paper develops a new paradigm for relational learning which allows for the representation and learning of relational information using propositional means. This paradigm sugg...
Dan Roth, Wen-tau Yih
140
Voted
IJCNN
2000
IEEE
15 years 8 months ago
A Neural Support Vector Network Architecture with Adaptive Kernels
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
Pascal Vincent, Yoshua Bengio
133
Voted
COMPSYSTECH
2007
15 years 7 months ago
A refinement model with information granulation focused on difficult to distinguish cases
: The paper proposes a different approach to data modeling. Analogous to the rejection method, where the misclassifications are removed and manually evaluated, we focus here on dif...
Plamena Andreeva, Plamen Andreev, Maya Dimitrova, ...