2878 search results - page 135 / 576 » Learning the Common Structure of Data |
135
Voted
CIKM
2005
Springer
15 years 9 months ago
2005
Springer
In this paper, we propose a versatile disambiguation approach which can be used to make explicit the meaning of structure based information such as XML schemas, XML document struc...
135
Voted
ICDM
2005
IEEE
15 years 9 months ago
2005
IEEE
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
138
Voted
WSC
1998
15 years 5 months ago
1998
ating Structures is a system abstraction that helps to model large-scale distributed systems, whose performance mostly depends on how well the data and messages traffic is organiz...
182
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
This paper introduces a new neural network language model (NNLM) based on word clustering to structure the output vocabulary: Structured Output Layer NNLM. This model is able to h...
149
Voted
FUZZIEEE
2007
IEEE
15 years 10 months ago
2007
IEEE
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...