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WWW
2008
ACM
16 years 7 months ago
Learning to classify short and sparse text & web with hidden topics from large-scale data collections
This paper presents a general framework for building classifiers that deal with short and sparse text & Web segments by making the most of hidden topics discovered from larges...
Xuan Hieu Phan, Minh Le Nguyen, Susumu Horiguchi
ICDE
2006
IEEE
181views Database» more  ICDE 2006»
16 years 7 months ago
Adaptive Reorganization of Coherency-Preserving Dissemination Tree for Streaming Data
In many recent applications, data are continuously being disseminated from a source to a set of servers. In this paper, we propose a cost-based approach to construct dissemination...
Yongluan Zhou, Beng Chin Ooi, Kian-Lee Tan, Feng Y...
ECOOP
2008
Springer
15 years 8 months ago
Online Phase-Adaptive Data Layout Selection
Good data layouts improve cache and TLB performance of object-oriented software, but unfortunately, selecting an optimal data layout a priori is NP-hard. This paper introduces layo...
Chengliang Zhang, Martin Hirzel
ICASSP
2011
IEEE
14 years 10 months ago
SVM feature selection for multidimensional EEG data
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
Nisrine Jrad, Ronald Phlypo, Marco Congedo
SEMWEB
2009
Springer
16 years 26 days ago
Dynamic Querying of Mass-Storage RDF Data with Rule-Based Entailment Regimes
RDF Schema (RDFS) as a lightweight ontology language is gaining popularity and, consequently, tools for scalable RDFS inference and querying are needed. SPARQL has become recently ...
Giovambattista Ianni, Thomas Krennwallner, Alessan...