61 search results - page 2 / 13 » A Markov Language Learning Model for Finite Parameter Spaces |
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
AMAI
2004
Springer
13 years 10 months ago
2004
Springer
This work introduces a new query inference model that can access data and communicate with a teacher by asking finitely many boolean queries in a language L. In this model the pa...
AAAI
1997
13 years 6 months ago
1997
This paper steps back from the standard infinite horizon formulation of reinforcement learning problems to consider the simpler case of finite horizon problems. Although finite ho...
ACL
1997
13 years 6 months ago
1997
A new account of parameter setting during grammatical acquisition is presented in terms of Generalized Categorial Grammar embedded in a default inheritance hierarchy, providing a ...
ACSC
2004
IEEE
13 years 8 months ago
2004
IEEE
This paper reports on an experiment to determine the optimal parameters for a speech recogniser that is part of a computer aided instruction system for assisting learners of Engli...