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» Using Prior Knowledge: Problems and Solutions
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HIS
2007
15 years 5 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
15 years 1 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»
15 years 3 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 8 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 4 months 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