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» Using Learning in a Control Agent
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105
Voted
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
15 years 14 days ago
Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations
In the future, robotic surgical assistants may assist surgeons by performing specific subtasks such as retraction and suturing to reduce surgeon tedium and reduce the duration of s...
Jur van den Berg, Stephen Miller, Daniel Duckworth...
ISCAS
2008
IEEE
145views Hardware» more  ISCAS 2008»
15 years 9 months ago
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
Vamsi K. Potluru, Vince D. Calhoun
119
Voted
COOPIS
2000
IEEE
15 years 7 months ago
Dynamic Pricing with Limited Competitor Information in a Multi-Agent Economy
We study the price dynamics in a multi-agent economy consisting of buyers and competing sellers, where each seller has limited information about its competitors’ prices. In this ...
Prithviraj Dasgupta, Rajarshi Das
140
Voted
ATAL
2008
Springer
15 years 4 months ago
Multi agent based simulation of transport chains
An agent-based tool for micro-level simulation of transport chains (TAPAS) is described. It is more powerful than traditional approaches as it is able to capture the interactions ...
Paul Davidsson, Johan Holmgren, Jan A. Persson, Li...
128
Voted
HICSS
2009
IEEE
129views Biometrics» more  HICSS 2009»
15 years 9 months ago
Using Collaborative Filtering Algorithms as eLearning Tools
Collaborative information filtering techniques play a key role in many Web 2.0 applications. While they are currently mainly used for business purposes such as product recommendat...
Frank Loll, Niels Pinkwart