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» An Introduction to Transfer Learning
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IWINAC
2005
Springer
14 years 3 months ago
Estimation of Fuel Moisture Content Using Neural Networks
Fuel moisture content (FMC) is one of the variables that drive fire danger. Artificial Neural Networks (ANN) were tested to estimate FMC by calculating the two variables implicat...
David Riaño, S. L. Ustin, L. Usero, Miguel ...
ISESE
2002
IEEE
14 years 2 months ago
Replicating Software Engineering Experiments: Addressing the Tacit Knowledge Problem
Recently the awareness of the importance of replicating studies has been growing in the empirical software engineering community. The results of any one study cannot simply be ext...
Forrest Shull, Victor R. Basili, Jeffrey Carver, J...
PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
14 years 1 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Slobodan Vucetic, Zoran Obradovic
AAAI
2012
12 years 8 days ago
Discovering Constraints for Inductive Process Modeling
Scientists use two forms of knowledge in the construction of explanatory models: generalized entities and processes that relate them; and constraints that specify acceptable combi...
Ljupco Todorovski, Will Bridewell, Pat Langley
AAAI
2010
13 years 11 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli