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» Using Prior Knowledge: Problems and Solutions
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HIS
2007
15 years 1 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
IDA
2009
Springer
14 years 9 months ago
Hierarchical Extraction of Independent Subspaces of Unknown Dimensions
Abstract. Independent Subspace Analysis (ISA) is an extension of Independent Component Analysis (ICA) that aims to linearly transform a random vector such as to render groups of it...
Peter Gruber, Harold W. Gutch, Fabian J. Theis
BMCBI
2007
128views more  BMCBI 2007»
14 years 11 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini
NEUROSCIENCE
2001
Springer
15 years 4 months ago
Analysis and Synthesis of Agents That Learn from Distributed Dynamic Data Sources
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
Doina Caragea, Adrian Silvescu, Vasant Honavar
DAC
2008
ACM
16 years 20 days ago
On reliable modular testing with vulnerable test access mechanisms
In modular testing of system-on-a-chip (SoC), test access mechanisms (TAMs) are used to transport test data between the input/output pins of the SoC and the cores under test. Prio...
Lin Huang, Feng Yuan, Qiang Xu