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» Modeling search engine effectiveness for federated search
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SIGIR
2008
ACM
15 years 6 months ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen
AI
2002
Springer
15 years 6 months ago
The size distribution for Markov equivalence classes of acyclic digraph models
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
Steven B. Gillispie, Michael D. Perlman
WEBDB
2010
Springer
155views Database» more  WEBDB 2010»
15 years 11 months ago
Learning Topical Transition Probabilities in Click Through Data with Regression Models
The transition of search engine users’ intents has been studied for a long time. The knowledge of intent transition, once discovered, can yield a better understanding of how diļ...
Xiao Zhang, Prasenjit Mitra
NC
2006
132views Neural Networks» more  NC 2006»
15 years 6 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
ENTCS
2010
103views more  ENTCS 2010»
15 years 3 months ago
Model Testing Asynchronously Communicating Objects using Modulo AC Rewriting
Testing and verification of asynchronously communicating objects in open environments are challenging due to non-determinism. We explore a formal approach for black-box testing by...
Olaf Owe, Martin Steffen, Arild B. Torjusen