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» Learning Patterns in Noisy Data: The AQ Approach
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NIPS
1994
15 years 6 months ago
Combining Estimators Using Non-Constant Weighting Functions
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
Volker Tresp, Michiaki Taniguchi
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
16 years 5 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard GrÃ...
JAISE
2010
192views Algorithms» more  JAISE 2010»
14 years 11 months ago
Activity recognition using temporal evidence theory
The ability to identify the behavior of people in a home is at the core of Smart Home functionality. Such environments are equipped with sensors that unobtrusively capture informat...
Susan McKeever, Juan Ye, Lorcan Coyle, Chris Bleak...
CEC
2009
IEEE
15 years 11 months ago
Evolving hypernetwork models of binary time series for forecasting price movements on stock markets
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
Elena Bautu, Sun Kim, Andrei Bautu, Henri Luchian,...
EUROCOLT
1997
Springer
15 years 8 months ago
Ordinal Mind Change Complexity of Language Identification
The approach of ordinal mind change complexity, introduced by Freivalds and Smith, uses (notations for) constructive ordinals to bound the number of mind changes made by a learnin...
Andris Ambainis, Sanjay Jain, Arun Sharma