Sciweavers

DIS
2008
Springer
13 years 6 months ago
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
Beau Piccart, Jan Struyf, Hendrik Blockeel
DIS
2008
Springer
13 years 6 months ago
Active Learning for High Throughput Screening
Abstract. An important task in many scientific and engineering disciplines is to set up experiments with the goal of finding the best instances (substances, compositions, designs) ...
Kurt De Grave, Jan Ramon, Luc De Raedt
DIS
2008
Springer
13 years 6 months ago
Unsupervised Classifier Selection Based on Two-Sample Test
We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
Timo Aho, Tapio Elomaa, Jussi Kujala
DIS
2008
Springer
13 years 6 months ago
String Kernels Based on Variable-Length-Don't-Care Patterns
Abstract. We propose a new string kernel based on variable-lengthdon't-care patterns (VLDC patterns). A VLDC pattern is an element of ({}) , where is an alphabet and is the ...
Kazuyuki Narisawa, Hideo Bannai, Kohei Hatano, Shu...
DIS
2008
Springer
13 years 6 months ago
A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation
The need for non-standard text categorisation, i.e. based on some subtle criterion other than topics, may arise in various circumstances. In this study, we consider written respons...
Ata Kabán
DIS
2008
Springer
13 years 6 months ago
A Framework for Knowledge Discovery in a Society of Agents
Abstract. This paper proposes initial steps towards a generic framework for modeling the scientific process. It is generic according to two main axes. First, it can be instantiated...
Gauvain Bourgne, Vincent Corruble
DIS
2008
Springer
13 years 6 months ago
Ensemble-Trees: Leveraging Ensemble Power Inside Decision Trees
Decision trees are among the most effective and interpretable classification algorithms while ensembles techniques have been proven to alleviate problems regarding over-fitting and...
Albrecht Zimmermann
DIS
2008
Springer
13 years 6 months ago
Constructing Iceberg Lattices from Frequent Closures Using Generators
Frequent closures (FCIs) and generators (FGs) as well as the precedence relation on FCIs are key components in the definition of a variety of association rule bases. Although their...
Laszlo Szathmary, Petko Valtchev, Amedeo Napoli, R...
DIS
2008
Springer
13 years 6 months ago
Learning from Each Other
Christopher Dartnell, Éric Martin, Jean Sal...