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GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 6 days ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett
ICRA
2002
IEEE
115views Robotics» more  ICRA 2002»
15 years 11 months ago
An Experiment in Internet-Based, Human-Assisted Robotics
: This paper describes an experimental exploration in Internet-based control of robots. The motivation of this work is that Internet communications can be exploited to achieve grea...
Lung Ngai, Wyatt S. Newman, Vincenzo Liberatore
FLAIRS
1998
15 years 8 months ago
Optimizing Production Manufacturing Using Reinforcement Learning
Manyindustrial processes involve makingparts with an assemblyof machines, where each machinecarries out an operation on a part, and the finished product requires a wholeseries of ...
Sridhar Mahadevan, Georgios Theocharous
ICALT
2010
IEEE
15 years 7 months ago
What You Check is What You Get: Authoring with jEditOQMath
Abstract--jEditOQMath is an authoring tool for the intelligent learning environment ActiveMath. Its editing interface is a simple source editor. However the wealth and power of the...
Paul Libbrecht
IWANN
2009
Springer
16 years 1 months ago
Wireless Sensor Networks in Home Care
Ambient Intelligence has acquired great importance in recent years and requires the development of new innovative solutions. This paper presents a novel architecture which integrat...
Dante I. Tapia, Juan A. Fraile, Sara Rodríg...