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» Learning Evaluation Functions for Large Acyclic Domains
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PVLDB
2008
127views more  PVLDB 2008»
13 years 8 months ago
Discovering data quality rules
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often ari...
Fei Chiang, Renée J. Miller
JSA
2006
97views more  JSA 2006»
13 years 8 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 7 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
SEMWEB
2009
Springer
14 years 3 months ago
A Database Backend for OWL
Abstract. Most Semantic Web applications are build on top of technology based on the Semantic Web layer cake and the W3C ontology languages RDF(S) and OWL. However RDF(S) embodies ...
Jörg Henss, Joachim Kleb, Stephan Grimm
BMCBI
2006
158views more  BMCBI 2006»
13 years 8 months ago
Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...