Sciweavers

5463 search results - page 16 / 1093
» Evaluating algorithms that learn from data streams
Sort
View
DASFAA
2009
IEEE
101views Database» more  DASFAA 2009»
15 years 4 months ago
Eager Evaluation of Partial Tree-Pattern Queries on XML Streams
Current streaming applications have stringent requirements on query response time and memory consumption because of the large (possibly unbounded) size of data they handle. Further...
Dimitri Theodoratos, Xiaoying Wu
WWW
2008
ACM
15 years 10 months ago
Online learning from click data for sponsored search
Sponsored search is one of the enabling technologies for today's Web search engines. It corresponds to matching and showing ads related to the user query on the search engine...
Massimiliano Ciaramita, Vanessa Murdock, Vassilis ...
DASFAA
2008
IEEE
149views Database» more  DASFAA 2008»
14 years 11 months ago
A Test Paradigm for Detecting Changes in Transactional Data Streams
A pattern is considered useful if it can be used to help a person to achieve his goal. Mining data streams for useful patterns is important in many applications. However, data stre...
Willie Ng, Manoranjan Dash
AUSAI
2004
Springer
15 years 3 months ago
A Bayesian Metric for Evaluating Machine Learning Algorithms
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
Lucas R. Hope, Kevin B. Korb
103
Voted
ICDCS
2000
IEEE
15 years 2 months ago
An Adaptive, Perception-Driven Error Spreading Scheme in Continuous Media Streaming
For transmission of continuous media (CM) streams such as audio and video over the Internet, a critical issue is that periodic network overloads cause bursty packet losses. Studie...
Srivatsan Varadarajan, Hung Q. Ngo, Jaideep Srivas...