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RULEML
2004
Springer
14 years 3 months ago
A Defeasible Logic Reasoner for the Semantic Web
Abstract. Defeasible reasoning is a rule-based approach for efficient reasoning with incomplete and inconsistent information. Such reasoning is, among others, useful for ontology i...
Nick Bassiliades, Grigoris Antoniou, Ioannis P. Vl...
SIGIR
2008
ACM
13 years 9 months ago
A simple and efficient sampling method for estimating AP and NDCG
We consider the problem of large scale retrieval evaluation. Recently two methods based on random sampling were proposed as a solution to the extensive effort required to judge te...
Emine Yilmaz, Evangelos Kanoulas, Javed A. Aslam
WSDM
2012
ACM
258views Data Mining» more  WSDM 2012»
12 years 5 months ago
Large-scale analysis of individual and task differences in search result page examination strategies
Understanding the impact of individual and task differences on search result page examination strategies is important in developing improved search engines. Characterizing these e...
Georg Buscher, Ryen W. White, Susan T. Dumais, Jef...
JSAC
2007
120views more  JSAC 2007»
13 years 9 months ago
On the Capacity of MIMO Wireless Channels with Dynamic CSIT
Abstract— Transmit channel side information (CSIT) can significantly increase MIMO wireless capacity. Due to delay in acquiring this information, however, the time-selective fad...
Mai Vu, Arogyaswami Paulraj
PCI
2005
Springer
14 years 3 months ago
A Graphical Rule Authoring Tool for Defeasible Reasoning in the Semantic Web
Defeasible reasoning is a rule-based approach for efficient reasoning with incomplete and inconsistent information. Such reasoning is useful for many applications in the Semantic W...
Nick Bassiliades, Efstratios Kontopoulos, Grigoris...