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PyML
PyML is an interactive object oriented framework for machine learning written in Python. PyML focuses on SVMs and other kernel methods.\nIt is tested on Linux and Mac OS X.
Stanford CS229 - Machine Learning
This course provides a broad introduction to machine learning and statistical pattern recognition.
腦力大躍進
科學家己經證實,大腦有如一塊超強的海綿,在出生到約12歲之間擁有超強吸收的!大腦越用會越好用,不用卻會生繡。而擁有聰明的腦子的好處還不只一樁--------人們從未想過,經常鍛鍊腦力還可以強身治病,甚至延年益壽!
Text to Speech and Speech Synthesis
Acapela Group gives a voice to all your products and services. We invent voice solutions to give the say to content and enrich user interfaces in a natural and intuitive way based on our comprehensive technologies.
海扁學習與神經網路的同步化
今天就先和各位分享神經網路調整的兩種方法:海扁學習和STDP,並且另外介紹神經網路同步化 (synchronized)和同多步 (polychrnous)的模型,進一步探討可能的神經網路模式,或許對人工智慧自我學習的方法上,也能提供一些參考!
Facilitating Robot Learning
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learning by imitation
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multi-robot learning
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Behavior-Based Control: A Brief Primer
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Note that
behaviors themselves can have state, and can form representations when
networked together. Thus, unlike reactive systems, behavior-based
systems are not limited in their expressive and learning capabilities. -
behavior-based systems attempt to make the
representation, and thus the time-scale, of the system uniform.
Behavior-based representations are parallel, distributed, and active
Idaho National Laboratory - Adaptive Robotics - Behavior-Based Robotics
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Robots can also learn using an automated critic that guides development by reinforcing or ‘punishing’ actions (or intended actions)
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The boon of unsupervised learning is not only increased autonomy, but also the fact that it does not require either the robot or a teacher to have explicit, a priori knowledge of how the task should be accomplished
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CAROLL: a Cheap Autonomous Robot for On-Line Learning
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The algorithm used here is a simple Q-learning algorithm
Article - Learning Robots.
- 用電路來實現機器人學習功能 - yorkjong on 2007-05-28
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variable delay
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short-term memory
- 1 more annotations...
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