ECML
2003
Springer
14 years 5 months ago
2003
Springer
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzin...
ECML
2003
Springer
14 years 5 months ago
2003
Springer
In traditional multi-instance (MI) learning, a single positive instance in a bag produces a positive class label. Hence, the learner knows how the bag’s class label depends on th...
ECML
2003
Springer
14 years 5 months ago
2003
Springer
ECML
2003
Springer
14 years 5 months ago
2003
Springer
Abstract. This paper studies the properties and performance of models for estimating local probability distributions which are used as components of larger probabilistic systems ...
ECML
2003
Springer
14 years 5 months ago
2003
Springer
Determining the semantic role of sentence constituents is a key task in determining sentence meanings lying behind a veneer of variant syntactic expression. We present a model of n...
ECML
2003
Springer
14 years 5 months ago
2003
Springer
We present an algorithm for learning context free grammars from positive structural examples (unlabeled parse trees). The algorithm receives a parameter in the form of a finite se...
ECML
2003
Springer
14 years 5 months ago
2003
Springer
ECML
2003
Springer
14 years 5 months ago
2003
Springer
Many machine learning tasks contain feature evaluation as one of its important components. This work is concerned with attribute estimation in the problems where class distribution...
ECML
2003
Springer
14 years 5 months ago
2003
Springer
Context-free grammars cannot be identified in the limit from positive examples (Gold, 1967), yet natural language grammars are more powerful than context-free grammars and humans ...
ECML
2003
Springer
14 years 5 months ago
2003
Springer
Abstract. This paper explores the use of initial Stochastic Context-Free Grammars (SCFG) obtained from a treebank corpus for the learning of SCFG by means of estimation algorithms....