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» A New Way to Introduce Knowledge into Reinforcement Learning
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COMPLEX
2009
Springer
15 years 4 months ago
Transforming Time Series into Complex Networks
We introduce transformations from time series data to the domain of complex networks which allow us to characterise the dynamics underlying the time series in terms of topological ...
Michael Small, Jie Zhang, Xiaoke Xu
87
Voted
SIGMOD
2011
ACM
297views Database» more  SIGMOD 2011»
14 years 9 days ago
Apples and oranges: a comparison of RDF benchmarks and real RDF datasets
The widespread adoption of the Resource Description Framework (RDF) for the representation of both open web and enterprise data is the driving force behind the increasing research...
Songyun Duan, Anastasios Kementsietsidis, Kavitha ...
CP
2010
Springer
14 years 8 months ago
A Complete Multi-valued SAT Solver
We present a new complete multi-valued SAT solver, based on current state-of-the-art SAT technology. It features watched literal propagation and conflict driven clause learning. W...
Siddhartha Jain, Eoin O'Mahony, Meinolf Sellmann
75
Voted
COR
2006
97views more  COR 2006»
14 years 9 months ago
Evaluating the performance of cost-based discretization versus entropy- and error-based discretization
Discretization is defined as the process that divides continuous numeric values into intervals of discrete categorical values. In this article, the concept of cost-based discretiz...
Davy Janssens, Tom Brijs, Koen Vanhoof, Geert Wets
JUCS
2010
176views more  JUCS 2010»
14 years 8 months ago
An Approach to Generation of Decision Rules
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...
Zhang Mingyi, Danning Li, Zhang Ying