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2010
Springer
13 years 6 months ago
Extracting Principal Components from Pseudo-random Data by Using Random Matrix Theory
We develop a methodology to grasp temporal trend in a stock market that changes year to year, or sometimes within a year depending on numerous factors. For this purpose, we employ ...
Mieko Tanaka-Yamawaki
PVLDB
2010
105views more  PVLDB 2010»
13 years 6 months ago
Destabilizers and Independence of XML Updates
Independence analysis is the problem of determining whether an update affects the result of a query, e.g. a constraint or materialized view. We develop a new, modular framework fo...
Michael Benedikt, James Cheney
TCOM
2010
92views more  TCOM 2010»
13 years 6 months ago
Detection of Gaussian constellations in MIMO systems under imperfect CSI
Abstract—This paper considers the problem of Gaussian symbols detection in MIMO systems in the presence of channel estimation errors. Under this framework we develop a computatio...
Ido Nevat, Gareth W. Peters, Jinhong Yuan
TKDE
2010
224views more  TKDE 2010»
13 years 6 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela
ACL
2010
13 years 6 months ago
Structural Semantic Relatedness: A Knowledge-Based Method to Named Entity Disambiguation
Name ambiguity problem has raised urgent demands for efficient, high-quality named entity disambiguation methods. In recent years, the increasing availability of large-scale, rich...
Xianpei Han, Jun Zhao