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» Combining Two Data Mining Methods for System Identification
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JAIR
2002
163views more  JAIR 2002»
13 years 7 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
WSDM
2010
ACM
265views Data Mining» more  WSDM 2010»
14 years 5 months ago
Data-oriented Content Query System: Searching for Data into Text on the Web
As the Web provides rich data embedded in the immense contents inside pages, we witness many ad-hoc efforts for exploiting fine granularity information across Web text, such as We...
Kevin Chen-Chuan Chang, Mianwei Zhou, Tao Cheng
BMCBI
2006
195views more  BMCBI 2006»
13 years 7 months ago
Hubs of knowledge: using the functional link structure in Biozon to mine for biologically significant entities
Background: Existing biological databases support a variety of queries such as keyword or definition search. However, they do not provide any measure of relevance for the instance...
Paul Shafer, Timothy Isganitis, Golan Yona
ACL
2001
13 years 9 months ago
Serial Combination of Rules and Statistics: A Case Study in Czech Tagging
A hybrid system is described which combines the strength of manual rulewriting and statistical learning, obtaining results superior to both methods if applied separately. The comb...
Jan Hajic, Pavel Krbec, Pavel Kveton, Karel Oliva,...
KDD
2001
ACM
237views Data Mining» more  KDD 2001»
14 years 8 months ago
Exploiting Web Log Mining for Web Cache Enhancement
Abstract. Improving the performance of the Web is a crucial requirement, since its popularity resulted in a large increase in the user perceived latency. In this paper, we describe...
Alexandros Nanopoulos, Dimitrios Katsaros, Yannis ...