55 search results - page 3 / 11 » Generalized ordering-search for learning directed probabilis... |
ML
2006
ACM
13 years 5 months ago
2006
ACM
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
ICLP
2009
Springer
14 years 5 months ago
2009
Springer
Abstract. A class of probabilistic-logic models is considered, which increases the expressibility from HMM's and SCFG's regular and contextfree languages to, in principle...
SIGIR
2008
ACM
13 years 5 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
EMNLP
2010
13 years 3 months ago
2010
This paper addresses the problem of learning to map sentences to logical form, given training data consisting of natural language sentences paired with logical representations of ...