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FLAIRS
2007
14 years 21 days ago
Explaining Task Processing in Cognitive Assistants that Learn
As personal assistant software matures and assumes more autonomous control of its users’ activities, it becomes more critical that this software can explain its task processing....
Deborah L. McGuinness, Alyssa Glass, Michael Wolve...
FLAIRS
2008
14 years 21 days ago
Learning a Probabilistic Model of Event Sequences from Internet Weblog Stories
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Mehdi Manshadi, Reid Swanson, Andrew S. Gordon
ECIS
2004
13 years 11 months ago
Value-based business modelling for network organizations: lessons learned from the electricity sector
Speed and availability of information, delivered in past years by Internet technologies, made it easier for any company to outsource primary activities, which resulted in unbundli...
Vera Kartseva, Jaap Gordijn, Yao-Hua Tan
SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
13 years 11 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
ECSA
2010
Springer
13 years 10 months ago
Learning from the Cell Life-Cycle: A Self-adaptive Paradigm
In the software domain, self-adaptive systems are able to modify their behavior at run-time to respond to changes in the environment they run, to changes of the users' require...
Antinisca Di Marco, Francesco Gallo, Paola Inverar...