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» Measuring Complexity of Intelligent Machines
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CHI
2009
ACM
14 years 8 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
SIGIR
2011
ACM
12 years 10 months ago
Fast context-aware recommendations with factorization machines
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
Steffen Rendle, Zeno Gantner, Christoph Freudentha...
ICANN
2009
Springer
14 years 2 months ago
Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning
Model complexity is key concern to any artificial learning system due its critical impact on generalization. However, EC research has only focused phenotype structural complexity ...
Faustino J. Gomez, Julian Togelius, Jürgen Sc...
IEEEICCI
2006
IEEE
14 years 1 months ago
Adopting the Cognitive Complexity Measure for Business Process Models
Business process models, often modelled using graphical languages like UML, serve as a base for communication between the stakeholders in the software development process. To ful...
Volker Gruhn, Ralf Laue
ICALT
2005
IEEE
14 years 1 months ago
Intelligent Visual Reasoning Tutor
Visual reasoning is an essential skill for many disciplines in engineering and architecture. We describe an intelligent tutoring system for visual reasoning that uses the missing ...
Eric Wang, Yong Se Kim