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» Evaluating algorithms that learn from data streams
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SIGMOD
2006
ACM
170views Database» more  SIGMOD 2006»
16 years 7 months ago
Energy-efficient monitoring of extreme values in sensor networks
Monitoring extreme values (MAX or MIN) is a fundamental problem in wireless sensor networks (and in general, complex dynamic systems). This problem presents very different algorit...
Adam Silberstein, Jun Yang 0001, Kamesh Munagala
ATAL
2005
Springer
16 years 1 months ago
Efficient information retrieval using mobile agents
We are concerned with the use of Mobile Agents for information retrieval. A multi-agent system is considered; a number of agents are involved in a collective effort to retrieve di...
Irene Sygkouna, Miltiades E. Anagnostou
DIS
2009
Springer
16 years 2 months ago
Contrasting Sequence Groups by Emerging Sequences
Abstract. Group comparison per se is a fundamental task in many scientific endeavours but is also the basis of any classifier. Contrast sets and emerging patterns contrast betwee...
Kang Deng, Osmar R. Zaïane

Book
545views
17 years 3 months ago
Artificial Intelligence: A Modern Approach
"Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continu...
Stuart Russell and Peter Norvig
ICML
2005
IEEE
16 years 8 months ago
Statistical and computational analysis of locality preserving projection
Recently, several manifold learning algorithms have been proposed, such as ISOMAP (Tenenbaum et al., 2000), Locally Linear Embedding (Roweis & Saul, 2000), Laplacian Eigenmap ...
Xiaofei He, Deng Cai, Wanli Min