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HCI
2007
13 years 10 months ago
Context-Aware Information Agents for the Automotive Domain Using Bayesian Networks
To reduce the workload of the driver due to the increasing amount of information and functions, intelligent agents represent a promising possibility to filter the immense data sets...
Markus Ablaßmeier, Tony Poitschke, Stefan Re...
PPAM
2007
Springer
14 years 2 months ago
A Cost-Benefit-Based Adaptation Scheme for Multimeme Algorithms
Abstract. Memetic Algorithms are the most frequently used hybrid of Evolutionary Algorithms (EA) for real-world applications. This paper will deal with one of the most important ob...
Wilfried Jakob
KAIS
2011
102views more  KAIS 2011»
13 years 3 months ago
Symbolic data analysis tools for recommendation systems
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
Byron Leite Dantas Bezerra, Francisco de Assis Ten...
GECCO
2007
Springer
268views Optimization» more  GECCO 2007»
14 years 2 months ago
Synthesis of analog filters on an evolvable hardware platform using a genetic algorithm
This work presents a novel approach to filter synthesis on a field programmable analog array (FPAA) architecture using a genetic algorithm (GA). First, a Matlab model of the FPA...
Joachim Becker, Stanis Trendelenburg, Fabian Henri...
ICCV
2007
IEEE
13 years 10 months ago
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering
Even though sensor fusion techniques based on particle filters have been applied to object tracking, their implementations have been limited to combining measurements from multip...
Bohyung Han, Seong-Wook Joo, Larry S. Davis