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CVPR
2009
IEEE
15 years 2 months ago
An Instance Selection Approach to Multiple Instance Learning
Multiple-instance Learning (MIL) is a new paradigm of supervised learning that deals with the classification of bags. Each bag is presented as a collection of instances from whi...
Zhouyu Fu (Australian National University), Antoni...
WWW
2008
ACM
14 years 8 months ago
SPARQL basic graph pattern optimization using selectivity estimation
In this paper, we formalize the problem of Basic Graph Pattern (BGP) optimization for SPARQL queries and main memory graph implementations of RDF data. We define and analyze the c...
Markus Stocker, Andy Seaborne, Abraham Bernstein, ...
DOLAP
1999
ACM
13 years 12 months ago
Design and Selection of Materialized Views in a Data Warehousing Environment: A Case Study
In this paper, we describe the design of a data warehousing system for an engineering company ‘R’. This system aims to assist users in retrieving data for business analysis in...
Goretti K. Y. Chan, Qing Li, Ling Feng
EUROMICRO
1999
IEEE
13 years 12 months ago
A Selective Compressed Memory System by On-Line Data Decompressing
This research proposes a selective compressed memory system (SCMS) focusing on a compressed cache architecture, in which only data blocks with good compression efficiency are comp...
Jang-Soo Lee, Won-Kee Hong, Shin-Dug Kim
BIBE
2007
IEEE
127views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
Gene Selection via Matrix Factorization
The recent development of microarray gene expression techniques have made it possible to offer phenotype classification of many diseases. However, in gene expression data analysis...
Fei Wang, Tao Li