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EWCBR
2006
Springer
15 years 1 months ago
Unsupervised Feature Selection for Text Data
Feature selection for unsupervised tasks is particularly challenging, especially when dealing with text data. The increase in online documents and email communication creates a nee...
Nirmalie Wiratunga, Robert Lothian, Stewart Massie
79
Voted
AAAI
1993
14 years 10 months ago
Complexity Analysis of Real-Time Reinforcement Learning
This paper analyzes the complexity of on-line reinforcement learning algorithms, namely asynchronous realtime versions of Q-learning and value-iteration, applied to the problem of...
Sven Koenig, Reid G. Simmons
ICDE
2006
IEEE
144views Database» more  ICDE 2006»
15 years 10 months ago
Approximately Processing Multi-granularity Aggregate Queries over Data Streams
Aggregate monitoring over data streams is attracting more and more attention in research community due to its broad potential applications. Existing methods suffer two problems, 1...
Shouke Qin, Weining Qian, Aoying Zhou
APPROX
2005
Springer
103views Algorithms» more  APPROX 2005»
15 years 3 months ago
Where's the Winner? Max-Finding and Sorting with Metric Costs
Traditionally, a fundamental assumption in evaluating the performance of algorithms for sorting and selection has been that comparing any two elements costs one unit (of time, work...
Anupam Gupta, Amit Kumar
85
Voted
EDBT
2009
ACM
156views Database» more  EDBT 2009»
15 years 1 months ago
Efficient skyline retrieval with arbitrary similarity measures
A skyline query returns a set of objects that are not dominated by other objects. An object is said to dominate another if it is closer to the query than the latter on all factors...
Deepak P, Prasad M. Deshpande, Debapriyo Majumdar,...