Category Archives: Papers

Bayesian Interpretation of Probability Theory and Fuzzy Logic

Previously, I was a fan of Fuzzy logic and the way it deals with uncertainty. I considered it as a complement of the probability theory. At that time, I thought that probability theory is a theory that deals with randomness … Continue reading

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A Quintessential Introduction to Dark Energy

There are a whole lot of things in the world that I do not know that much. It is true that I cannot learn all of them (or even a small portion of them) in my lifetime. Actually, it is … Continue reading

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@NIPS 2005

Right now, I am in the middle of the NIPS 2005 conference waiting for another oral session to begin. In this afternoon session, Sanjoy Dasgupta talked about his new result about active learning and the possible merit of it comparing … Continue reading

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Self-Organized Integration of Adaptive Visual Cues for Face Tracking

Jochen Triesch, Christoph von der Malsburg, Self-Organized Integration of Adaptive Visual Cues for Face Tracking I have started reading a few papers on multi-cues and multi-modal hypothesis in visual object tracking. I guessed the field was not that interesting, but … Continue reading

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Martin Jagersand, Image Based Visual Simulation and Tele-Assisted Robot Control

My comments and thoughts on Martin Jagersand, “Image Based Visual Simulation and Tele-Assisted Robot Control,” IROS 97. Continue reading

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Behavior Hierarchy Learning in a Behavior-based System using Reinforcement Learning (abstract)

This is my IROS 2004 paper abstract which is entitled Behavior Hierarchy Learning in a Behavior-based System using Reinforcement Learning. It will be presented very soon at International Conference on Intelligence Robots Systems [It have been presented now! You can … Continue reading

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Paper Download

I have downloaded a lot of paper today. I wonder if I read them before the Judgment day! (I think doing so is a kind of masochism.)

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PACness of MDP

I found some useful papers about PAC of MDP and its VC (and …) dimensions. Read them later: Rahul Jain and Pravin Varaiya, “PAC Learning for Markov Decision Process and Dynamics Games,” ?, 04. R. Jain and P. Varaiya, “Extension … Continue reading

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Paper: Evolution of a Subsumption Architecture Neurocontroller

Julian Togelius, “Evolution of a Subsumption Architecture Neurocontroller”, ? I’ve read this paper. It was interesting as it strenghten my idea of using (or possibility of using) incremental ideas in learning. I have done some experiments doing incremental learning, but … Continue reading

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