12 search results - page 2 / 3 » Activity labeling in process modeling: Empirical insights an... |
ICML
2005
IEEE
14 years 6 months ago
2005
IEEE
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
CAISE
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Traditionally, process mining has been used to extract models from event logs and to check or extend existing models. This has shown to be useful for improving processes ...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
We address the problem of evaluating the risk of a given model accurately at minimal labeling costs. This problem occurs in situations in which risk estimates cannot be obtained f...
EMNLP
2010
13 years 3 months ago
2010
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
ESEM
2008
ACM
13 years 7 months ago
2008
ACM
Effort distribution by phase or activity is an important but often overlooked aspect compared to other steps in the cost estimation process. Poor effort allocation is among the ma...