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FLAIRS
1998
14 years 10 months ago
Analytical Design of Reinforcement Learning Tasks
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Robert E. Smith
96
Voted
CISS
2007
IEEE
15 years 3 months ago
On Capacity of Automatic Target Recognition Systems Under the Constraint of PCA-Encoding
Limiting capabilities of practical recognition systems are determined by a variety of factors that include source encoding techniques, quality of images, complexity of underlying ...
Xiaohan Chen, Natalia A. Schmid
IPPS
2006
IEEE
15 years 3 months ago
Neighbourhood maps: decentralised ranking in small-world P2P networks
Reputation in P2P networks is an important tool to encourage cooperation among peers. It is based on ranking of peers according to their past behaviour. In large-scale real world ...
Matteo Dell'Amico
67
Voted
HAIS
2009
Springer
15 years 1 months ago
Beyond Homemade Artificial Data Sets
One of the most important challenges in supervised learning is how to evaluate the quality of the models evolved by different machine learning techniques. Up to now, we have relied...
Núria Macià, Albert Orriols-Puig, Es...
87
Voted
TPCTC
2009
Springer
101views Hardware» more  TPCTC 2009»
15 years 4 months ago
Benchmarking ETL Workflows
Extraction–Transform–Load (ETL) processes comprise complex data workflows, which are responsible for the maintenance of a Data Warehouse. A plethora of ETL tools is currently a...
Alkis Simitsis, Panos Vassiliadis, Umeshwar Dayal,...