36 search results - page 5 / 8 » Unsupervised Learning with Mixed Numeric and Nominal Data |
EMNLP
2011
12 years 8 months ago
2011
In this paper, we consider the problem of unsupervised morphological analysis from a new angle. Past work has endeavored to design unsupervised learning methods which explicitly o...
ICML
2001
IEEE
14 years 9 months ago
2001
IEEE
We call data weakly labeled if it has no exact label but rather a numerical indication of correctness of the label "guessed" by the learning algorithm - a situation comm...
SBRN
2000
IEEE
14 years 23 days ago
2000
IEEE
This paper explores basic aspects of the immune system and proposes a novel immune network model with the main goals of clustering and filtering unlabeled numerical data sets. It ...
ECML
2003
Springer
14 years 1 months ago
2003
Springer
A central issue in logical concept induction is the prospect of inconsistency. This problem may arise due to noise in the training data, or because the target concept does not fit...
IJCAI
2007
13 years 9 months ago
2007
This paper presents an algorithm for inferring a Structured Hidden Markov Model (S-HMM) from a set of sequences. The S-HMMs are a sub-class of the Hierarchical Hidden Markov Model...