240 search results - page 40 / 48 » Temporally-aware algorithms for document classification |
159
Voted
IDA
2006
Springer
15 years 3 months ago
2006
Springer
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
139
Voted
JMLR
2008
15 years 3 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
119
click to vote
COLING
2010
14 years 10 months ago
2010
Strategic business decision making involves the analysis of market forecasts. Today, the identification and aggregation of relevant market statements is done by human experts, oft...
144
Voted
JMLR
2010
14 years 10 months ago
2010
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
131
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Many real-world datasets can be clustered along multiple dimensions. For example, text documents can be clustered not only by topic, but also by the author's gender or sentim...