GLOBECOM
2009
IEEE
13 years 2 months ago
2009
IEEE
Maintaining fairness using weighting factors is a common approach in resource allocation. However, computing weighting factors for multiservice wireless networks is not trivial bec...
TAL
2010
Springer
13 years 2 months ago
2010
Springer
Abstract. The question answering systems are considered the next generation of search engines. This paper focuses on the first step of this process, which is to search for relevant...
JCT
2010
13 years 2 months ago
2010
Abstract. A weighting of the edges of a graph is called vertexcoloring if the weighted degrees of the vertices yield a proper coloring of the graph. In this paper we show that such...
SAC
2008
ACM
13 years 2 months ago
2008
ACM
Achieving high classification accuracy is a major challenge in the diagnosis of cancer types based on gene expression profiles. These profiles are notoriously noisy in that a larg...
JASIS
2002
13 years 4 months ago
2002
In this paper we report on a series of experiments designed to investigate the combination of term and document weighting functions in Information Retrieval. We describe a series ...
ICASSP
2010
IEEE
13 years 4 months ago
2010
IEEE
We propose an aspect-model-based reference speaker weighting. The main idea of the approach is that the adapted model is a linear combination of a set of reference speakers like r...
AAAI
1998
13 years 5 months ago
1998
One of the surprising findings from the study of CNF satisfiability in the 1990's has been the success of iterative repair techniques, and in particular of weighted iterative...
AAAI
2006
13 years 5 months ago
2006
In text categorization, term weighting methods assign appropriate weights to the terms to improve the classification performance. In this study, we propose an effective term weigh...
CP
2006
Springer
13 years 8 months ago
2006
Springer
In recent years, dynamic local search (DLS) clause weighting algorithms have emerged as the local search state-of-the-art for solving propositional satisfiability problems. However...
ICCBR
1997
Springer
13 years 8 months ago
1997
Springer
Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...