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ICML
2001
IEEE
15 years 10 days ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
ICML
2001
IEEE
15 years 10 days ago
Round Robin Rule Learning
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
Johannes Fürnkranz
ICML
2001
IEEE
15 years 10 days ago
Latent Semantic Kernels
Nello Cristianini, John Shawe-Taylor, Huma Lodhi
ICML
2001
IEEE
15 years 10 days ago
A Unified Loss Function in Bayesian Framework for Support Vector Regression
In this paper, we propose a unified non-quadratic loss function for regression known as soft insensitive loss function (SILF). SILF is a flexible model and possesses most of the d...
Wei Chu, S. Sathiya Keerthi, Chong Jin Ong
ICML
2001
IEEE
15 years 10 days ago
Convergence of Gradient Dynamics with a Variable Learning Rate
As multiagent environments become more prevalent we need to understand how this changes the agent-based paradigm. One aspect that is heavily affected by the presence of multiple a...
Michael H. Bowling, Manuela M. Veloso
ICML
2001
IEEE
15 years 10 days ago
Multiple-Instance Learning of Real-Valued Data
Robert A. Amar, Daniel R. Dooly, Sally A. Goldman,...
ICML
2001
IEEE
15 years 10 days ago
Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection
In this paper, we examine the advantages and disadvantages of filter and wrapper methods for feature selection and propose a new hybrid algorithm that uses boosting and incorporat...
Sanmay Das