28 search results - page 4 / 6 » A Cascaded Machine Learning Approach to Interpreting Tempora... |
ALT
2003
Springer
14 years 4 months ago
2003
Springer
Inductive inference is concerned with algorithmic learning of recursive functions. In the model of learning in the limit a learner successful for a class of recursive functions mus...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
In the paper we show that diagnostic classes in cancer gene expression data sets, which most often include thousands of features (genes), may be effectively separated with simple ...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-d...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
CICLING
2011
Springer
12 years 11 months ago
2011
Springer
In recent years, extraction of temporal relations for events that express sentiments has drawn great attention of the Natural Language Processing (NLP) research communities. In thi...