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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
15 years 3 months 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 3 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 3 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 3 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 2 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