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NIPS
2004
15 years 7 months ago
Schema Learning: Experience-Based Construction of Predictive Action Models
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
Michael P. Holmes, Charles Lee Isbell Jr.
ETS
2006
IEEE
114views Hardware» more  ETS 2006»
15 years 6 months ago
From Research Resources to Learning Objects: Process Model and Virtualization Experiences
Typically, most research and academic institutions own and archive a great amount of objects and research related resources that have been produced, used and maintained over long ...
José Luis Sierra, Alfredo Fernández-...
CHI
2011
ACM
14 years 9 months ago
The effects of task dimensionality, endpoint deviation, throughput calculation, and experiment design on pointing measures and m
Fitts’ law (1954) characterizes pointing speed-accuracy performance as throughput, whose invariance to target distances (A) and sizes (W) is known. However, it is unknown whethe...
Jacob O. Wobbrock, Kristen Shinohara, Alex Jansen
COMPSAC
2005
IEEE
15 years 12 months ago
Experiences with a Dialog-Driven Process Model for Web Application Development
We present a dialog-driven process model for the development of web-based applications that uses a graphical notation to model and iteratively refine the application’s dialog ...
Matthias Book, Volker Gruhn
ASWEC
2008
IEEE
16 years 21 days ago
Experiences on the Belief-Theoretic Integration of Para-consistent Conceptual Models
Viewpoint-based conceptual modeling is concerned with the identification of a complete and coherent set of software models that have been developed with the involvement of variou...
Ebrahim Bagheri, Ali A. Ghorbani