87 search results - page 6 / 18 » Learning Parameterized State Machine Model for Integration T... |
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We present MI-CRF, a conditional random field (CRF) model for multiple instance learning (MIL). MI-CRF models bags as nodes in a CRF with instances as their states. It combines di...
CONCUR
2006
Springer
15 years 1 months ago
2006
Springer
Boolean programs with recursion are convenient abstractions of sequential imperative programs, and can be represented as recursive state machines (RSMs) or pushdown automata. Motiv...
76
Voted
ICML
2009
IEEE
15 years 10 months ago
2009
IEEE
Given a model family and a set of unlabeled examples, one could either label specific examples or state general constraints--both provide information about the desired model. In g...
98
Voted
ICWS
2010
IEEE
14 years 11 months ago
2010
IEEE
This paper presents a methodology and a set of tools for the modelling, validation and testing of Web service composition, conceived and developed within the French national projec...
UAI
1996
14 years 11 months ago
1996
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...