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» Structural Abstraction Experiments in Reinforcement Learning
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ICONIP
2004
14 years 10 months ago
Generalization in Learning Multiple Temporal Patterns Using RNNPB
Abstract. This paper examines the generalization capability in learning multiple temporal patterns by the recurrent neural network with parametric bias (RNNPB). Our simulation expe...
Masato Ito, Jun Tani
77
Voted
ICA
2010
Springer
14 years 10 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
ICPR
2004
IEEE
15 years 10 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
PKDD
2010
Springer
178views Data Mining» more  PKDD 2010»
14 years 7 months ago
Large-Scale Support Vector Learning with Structural Kernels
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
Aliaksei Severyn, Alessandro Moschitti
ER
1998
Springer
100views Database» more  ER 1998»
15 years 1 months ago
Designing Well-Structured Websites: Lessons to Be Learned from Database Schema Methodology
Abstract. In this paper we argue that many of the problems one may experience while visiting websites today may be avoided if their builders adopt a proper methodology for designin...
Olga De Troyer