1407 search results - page 124 / 282 » Learning Abstract Scheduling Models |
130
Voted
IJCAI
1997
15 years 3 months ago
1997
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
196
Voted
CAISE
2011
Springer
14 years 6 months ago
2011
Springer
Abstract. Flexibility and automatic learning are key aspects to support users in dynamic business environments such as value chains across SMEs or when organizing a large event. Pr...
130
Voted
CONCUR
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. We propose a new operational model for shared variable concurrency, in the context of a concurrent, higher-order imperative language `a la ML. In our model the scheduling...
139
Voted
QEST
2010
IEEE
15 years 14 days ago
2010
IEEE
Abstract--Model checkers for concurrent probabilistic systems have become very popular within the last decade. The study of long-run average behavior has however received only scan...
MICCAI
2008
Springer
16 years 3 months ago
2008
Springer
Abstract. This paper presents a machine-learning approach to the interactive classification of suspected liver metastases in fMRI images. The method uses fMRI-based statistical mod...