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TNN
2010
216views Management» more  TNN 2010»
15 years 1 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
WETICE
1998
IEEE
15 years 10 months ago
A Framework for Adaptive Process Modeling and Execution (FAME)
This paper describes the architecture and concept of operation of a Framework for Adaptive Process Modeling and Execution (FAME). The research addresses the absence of robust meth...
Perakath C. Benjamin, Madhav Erraguntla, Richard J...
ECIS
2001
15 years 7 months ago
Recombinant Knowledge Structures and Models of E-Business Innovation: An Empirical Investigation
Using a knowledge-based theory of the firm within the larger framework of resource-based theory, this ongoing study examines how firm knowledge structures are disrupted under diff...
Amrit Tiwana, Ephraim R. McLean
ACL
2012
13 years 9 months ago
Building Trainable Taggers in a Web-based, UIMA-Supported NLP Workbench
Argo is a web-based NLP and text mining workbench with a convenient graphical user interface for designing and executing processing workflows of various complexity. The workbench...
Rafal Rak, BalaKrishna Kolluru, Sophia Ananiadou
ICAS
2009
IEEE
125views Robotics» more  ICAS 2009»
16 years 1 months ago
Tools for Architecture Based Autonomic Systems
Recent years have seen a growing interest in autonomic computing, an approach to providing systems with self managing properties [1]. Autonomic computing aims to address the incre...
Noel De Palma, Konstantin Popov, Nikos Parlavantza...