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AIME
2007
Springer
14 years 3 months ago
Machine Learning Techniques for Decision Support in Anesthesia
Abstract. The growing availability of measurement devices in the operating room enables the collection of a huge amount of data about the state of the patient and the doctors’ pr...
Olivier Caelen, Gianluca Bontempi, Luc Barvais
ESAW
2007
Springer
13 years 11 months ago
Progress Appraisal as a Challenging Element of Coordination in Human and Machine Joint Activity
Joint activity, as we define it, is a mutually interdependent social endeavor that requires sufficient predictability among participating parties to enable coordination. Coordinati...
Paul J. Feltovich, Jeffrey M. Bradshaw, William J....
IEEEVAST
2010
13 years 3 months ago
ALIDA: Using machine learning for intent discernment in visual analytics interfaces
In this paper, we introduce ALIDA, an Active Learning Intent Discerning Agent for visual analytics interfaces. As users interact with and explore data in a visual analytics enviro...
Tera Marie Green, Ross Maciejewski, Steve DiPaola
ICML
2005
IEEE
14 years 10 months ago
Learning predictive representations from a history
Predictive State Representations (PSRs) have shown a great deal of promise as an alternative to Markov models. However, learning a PSR from a single stream of data generated from ...
Eric Wiewiora
ASM
2005
ASM
14 years 2 months ago
Verifying Security Protocols: An ASM Approach
In this paper we present a modeling technique for security protocols using Abstract State Machines [BS03,Gur95] (ASMs). We describe how we model the different agents in the scenar...
Dominik Haneberg, Holger Grandy, Wolfgang Reif, Ge...