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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
16 years 8 days ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
VLDB
2005
ACM
136views Database» more  VLDB 2005»
15 years 11 months ago
On k-Anonymity and the Curse of Dimensionality
In recent years, the wide availability of personal data has made the problem of privacy preserving data mining an important one. A number of methods have recently been proposed fo...
Charu C. Aggarwal
VLDB
2004
ACM
187views Database» more  VLDB 2004»
15 years 11 months ago
Voronoi-Based K Nearest Neighbor Search for Spatial Network Databases
A frequent type of query in spatial networks (e.g., road networks) is to find the K nearest neighbors (KNN) of a given query object. With these networks, the distances between ob...
Mohammad R. Kolahdouzan, Cyrus Shahabi
SIGECOM
2003
ACM
122views ECommerce» more  SIGECOM 2003»
15 years 11 months ago
k-Implementation
This paper discusses an interested party who wishes to influence the behavior of agents in a game (multi-agent interaction), which is not under his control. The interested party ...
Dov Monderer, Moshe Tennenholtz
ICDM
2002
IEEE
145views Data Mining» more  ICDM 2002»
15 years 11 months ago
Mining Top-K Frequent Closed Patterns without Minimum Support
In this paper, we propose a new mining task: mining top-k frequent closed patterns of length no less than min , where k is the desired number of frequent closed patterns to be min...
Jiawei Han, Jianyong Wang, Ying Lu, Petre Tzvetkov