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GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
13 years 10 months ago
Analysis and Improvements of the Adaptive Discretization Intervals Knowledge Representation
In order to handle classification problems with real-valued attributes using discretization algorithms it is necessary to obtain a good and reduced set of cut points in order to l...
Jaume Bacardit, Josep Maria Garrell i Guiu
DATAMINE
2002
147views more  DATAMINE 2002»
13 years 4 months ago
Discretization: An Enabling Technique
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more concise to represent and specify, easier to use and ...
Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan...
CORR
2010
Springer
154views Education» more  CORR 2010»
13 years 5 months ago
Cross Layer Aware Adaptive MAC based on Knowledge Based Reasoning for Cognitive Radio Computer Networks
: In this paper we are proposing a new concept in MAC layer protocol design for Cognitive radio by combining information held by physical layer and MAC layer with analytical engine...
Vibhar Pathak, Krishna Chandra Roy, Santosh Kumar ...
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 5 months ago
Deploying Wireless Networks with Beeps
Abstract. We present the discrete beeping communication model, which assumes nodes have minimal knowledge about their environment and severely limited communication capabilities. S...
Alejandro Cornejo, Fabian Kuhn
SCP
1998
163views more  SCP 1998»
13 years 4 months ago
Computing with Continuous Change
A central challenge in computer science and knowledge representation is the integration of conceptual frameworks for continuous and discrete change, as exemplified by the theory ...
Vineet Gupta, Radha Jagadeesan, Vijay A. Saraswat