2346 search results - page 80 / 470 » Hierarchical State Machines |
ALT
2005
Springer
2005
Springer
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
14 years 4 months ago
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
TACAS
1998
Springer
13 years 12 months ago
1998
Springer
A state/event model is a concurrent version of Mealy machines used for describing embedded reactive systems. This paper introduces a technique that uses compositionality and depend...
AIME
2007
Springer
14 years 1 months ago
2007
Springer
Traditional Chinese medicine (TCM) is an important avenue for disease prevention and treatment for the Chinese people and is gaining popularity among others. However, many remain s...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
ICML
2001
IEEE
14 years 8 months ago
2001
IEEE
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...