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ICML
2005
IEEE
16 years 1 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
INFOCOM
2009
IEEE
15 years 7 months ago
On Combining Shortest-Path and Back-Pressure Routing Over Multihop Wireless Networks
Abstract—Back-pressure based algorithms based on the algorithm by Tassiulas and Ephremides have recently received much attention for jointly routing and scheduling over multihop ...
Lei Ying, Sanjay Shakkottai, Aneesh Reddy
129
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ATAL
2009
Springer
15 years 7 months ago
Boolean combinations of weighted voting games
Weighted voting games are a natural and practically important class of simple coalitional games, in which each agent is assigned a numeric weight, and a coalition is deemed to be ...
Piotr Faliszewski, Edith Elkind, Michael Wooldridg...
CIMCA
2005
IEEE
15 years 6 months ago
Topic-Based Audience Metrics for Internet Marketing by Combining Ontologies and Output Page Mining
In Internet marketing, Web audience analysis is essential to understanding the visitors’ needs. However, the existing analysis tools fail to deliver summarized and conceptual me...
Jean-Pierre Norguet, Esteban Zimányi
KDD
2005
ACM
147views Data Mining» more  KDD 2005»
15 years 6 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu