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IJCAI
2001
15 years 4 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
PROMISE
2010
14 years 9 months ago
The role of the measure of functional complexity in effort estimation
Background. Currently there are several definitions of measures that should represent the size of software functional requirements. These measures have gained a quite relevant rol...
Luigi Lavazza, Gabriela Robiolo
137
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ICPR
2004
IEEE
16 years 3 months ago
A Consistency-Based Model Selection for One-Class Classification
Model selection in unsupervised learning is a hard problem. In this paper a simple selection criterion for hyperparameters in one-class classifiers (OCCs) is proposed. It makes us...
David M. J. Tax, Klaus-Robert Müller
100
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ESOP
2001
Springer
15 years 7 months ago
On the Complexity of Constant Propagation
Constant propagation (CP) is one of the most widely used optimizations in practice (cf. [9]). Intuitively, it addresses the problem of statically detecting whether an expression al...
Markus Müller-Olm, Oliver Rüthing
150
Voted
JIB
2006
220views more  JIB 2006»
15 years 2 months ago
An assessment of machine and statistical learning approaches to inferring networks of protein-protein interactions
Protein-protein interactions (PPI) play a key role in many biological systems. Over the past few years, an explosion in availability of functional biological data obtained from hi...
Fiona Browne, Haiying Wang, Huiru Zheng, Francisco...