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» Model-based user interface adaptation
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JUCS
2006
185views more  JUCS 2006»
13 years 8 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
CSDA
2007
172views more  CSDA 2007»
13 years 8 months ago
AMCMC: An R interface for adaptive MCMC
We describe AMCMC, a software package for running adaptive MCMC algorithms on user-supplied density functions. AMCMC provides the user with an R interface, which in turn calls C pr...
Jeffrey S. Rosenthal
IUI
2010
ACM
14 years 5 months ago
An adaptive calendar assistant using pattern mining for user preference modelling
In this paper, we present SmartCal, a calendar assistant that suggests appointment attributes, such as time, day, duration, etc., given any combination of initial user input attri...
Alfred Krzywicki, Wayne Wobcke, Anna Wong
KAIS
2002
144views more  KAIS 2002»
13 years 8 months ago
Correlation-Based Web Document Clustering for Adaptive Web Interface Design
A great challenge for web site designers is how to ensure users' easy access to important web pages efficiently. In this paper we present a clustering-based approach to addres...
Zhong Su, Qiang Yang, HongJiang Zhang, Xiaowei Xu,...
CHI
2005
ACM
14 years 9 months ago
A framework for building reality-based interfaces for wireless-grid applications
The pervasive adoption of wireless technologies is creating a growing demand for seamless interaction with wireless services. By sharing resources across devices such as PDA'...
Orit Shaer