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CHI
2009
ACM
15 years 10 months ago
Why and why not explanations improve the intelligibility of context-aware intelligent systems
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
Brian Y. Lim, Anind K. Dey, Daniel Avrahami
CE
2007
99views more  CE 2007»
14 years 9 months ago
Self-organising navigational support in lifelong learning: How predecessors can lead the way
Increased flexibility and modularisation in higher education complicates the process of learners finding their way through the offerings of higher education institutions. In lifel...
José Janssen, Colin Tattersall, Wim Waterin...
88
Voted
NIPS
1996
14 years 10 months ago
Multidimensional Triangulation and Interpolation for Reinforcement Learning
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
Scott Davies
131
Voted
JDCTA
2010
146views more  JDCTA 2010»
14 years 4 months ago
Modelling for Cruise Two-Dimensional Online Revenue Management System
To solve the cruise two-dimensional revenue management problem and develop such an automated system under uncertain environment, a static model which is a stochastic integer progr...
Bingzhou Li
ESCIENCE
2006
IEEE
15 years 3 months ago
WISENT: e-Science for Energy Meteorology
Our energy production increasingly depends on renewable energy sources, which impose new challenges for distributed and decentralized systems. One problem is that the availability...
Wilhelm Hasselbring, Detlev Heinemann, Johannes Hu...