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» Improving Rule Evaluation Using Multitask Learning
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ATAL
2009
Springer
15 years 8 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
EPIA
2009
Springer
15 years 8 months ago
Learning Visual Object Categories with Global Descriptors and Local Features
Different types of visual object categories can be found in real-world applications. Some categories are very heterogeneous in terms of local features (broad categories) while oth...
Rui Pereira, Luís Seabra Lopes
ISCAS
2008
IEEE
93views Hardware» more  ISCAS 2008»
15 years 8 months ago
SOM with False-Neighbor degree and its behaviors
— This study improves SOM with False-Neighbor degree between neurons (FN-SOM) which solves some problems of the original FN-SOM. The improved FN-SOM changes the neighborhood rela...
Haruna Matsushita, Yoshifumi Nishio
ECAI
2000
Springer
15 years 6 months ago
Background Knowledge, Indexing and Matching Interdependencies of Document Management and Ontology-Maintenance
This position paper presents an algorithm, which determines similarities between text documents. These text documents are indexed with keywords and further background knowledge-ter...
Andreas Faatz, Thomas Kamps, Ralf Steinmetz
ICTAI
2002
IEEE
15 years 6 months ago
Machine Learning for Software Engineering: Case Studies in Software Reuse
There are many machine learning algorithms currently available. In the 21st century, the problem no longer lies in writing the learner, but in choosing which learners to run on a ...
Justin S. Di Stefano, Tim Menzies