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» Learning with Idealized Kernels
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IDEAL
2005
Springer
14 years 3 months ago
Patterns in Complex Systems Modeling
The design, development, and use of complex systems models raises a unique class of challenges and potential pitfalls, many of which are commonly recurring problems. Over time, res...
Janet Wiles, James Watson
IDEAL
2004
Springer
14 years 3 months ago
Stock Trading by Modelling Price Trend with Dynamic Bayesian Networks
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak ...
IDEAL
2009
Springer
13 years 7 months ago
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool
This work is related to the KEEL1 (Knowledge Extraction based on Evolutionary Learning) tool, a non-commercial software that supports data management, design of experiments and an ...
Alberto Fernández, Julián Luengo, Jo...
ICML
2010
IEEE
13 years 11 months ago
Gaussian Processes Multiple Instance Learning
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...
Minyoung Kim, Fernando De la Torre
NPL
2010
135views more  NPL 2010»
13 years 8 months ago
A Novel Regularization Learning for Single-View Patterns: Multi-View Discriminative Regularization
The existing Multi-View Learning (MVL) is to discuss how to learn from patterns with multiple information sources and has been proven its superior generalization to the usual Sing...
Zhe Wang, Songcan Chen, Hui Xue, Zhisong Pan