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» Evaluating algorithms that learn from data streams
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WASA
2009
Springer
126views Algorithms» more  WASA 2009»
16 years 1 months ago
Data Collection with Multiple Sinks in Wireless Sensor Networks
In this paper, we consider Multiple-Sink Data Collection Problem in wireless sensor networks, where a large amount of data from sensor nodes need to be transmitted to one of multip...
Sixia Chen, Matthew Coolbeth, Hieu Dinh, Yoo-Ah Ki...
ICTAI
2003
IEEE
15 years 12 months ago
Parallel Mining of Maximal Frequent Itemsets from Databases
In this paper, we propose a parallel algorithm for mining maximal frequent itemsets from databases. A frequent itemset is maximal if none of its supersets is frequent. The new par...
Soon Myoung Chung, Congnan Luo
JAISE
2011
179views more  JAISE 2011»
14 years 9 months ago
A hybrid probabilistic neural model for person tracking based on a ceiling-mounted camera
Person tracking is an important topic in ambient living systems as well as in computer vision. In particular, detecting a person from a ceiling-mounted camera is a challenge since ...
Wenjie Yan, Cornelius Weber, Stefan Wermter
ALT
2010
Springer
15 years 8 months ago
Towards General Algorithms for Grammatical Inference
Many algorithms for grammatical inference can be viewed as instances of a more general algorithm which maintains a set of primitive elements, which distributionally define sets of ...
Alexander Clark
194
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WFLP
2000
Springer
124views Algorithms» more  WFLP 2000»
15 years 10 months ago
A Formal Approach to Reasoning about the Effectiveness of Partial Evaluation
We introduce a framework for assessing the effectiveness of partial evaluators in functional logic languages. Our framework is based on properties of the rewrite system that models...
Elvira Albert, Sergio Antoy, Germán Vidal