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» The Learning Power of Evolution
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128
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LFCS
1992
Springer
15 years 7 months ago
Machine Learning of Higher Order Programs
A generator program for a computable function (by definition) generates an infinite sequence of programs all but finitely many of which compute that function. Machine learning of ...
Ganesh Baliga, John Case, Sanjay Jain, Mandayam Su...
135
Voted
NIPS
1993
15 years 4 months ago
The Power of Amnesia
We propose a learning algorithm for a variable memory length Markov process. Human communication, whether given as text, handwriting, or speech, has multi characteristic time scal...
Dana Ron, Yoram Singer, Naftali Tishby
130
Voted
ICML
2010
IEEE
15 years 4 months ago
Power Iteration Clustering
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low-dimensional embedding of a dataset using truncated power ite...
Frank Lin, William W. Cohen
110
Voted
NIME
2004
Springer
93views Music» more  NIME 2004»
15 years 9 months ago
Sound Feedback for Powerful Karate Training
We have developed new sound feedback for powerful karate training with pleasure, which enables to extract player’s movement, understand player’s activities, and generate them ...
Masami Takahata, Kensuke Shiraki, Yutaka Sakane, Y...
130
Voted
CDC
2009
IEEE
172views Control Systems» more  CDC 2009»
15 years 8 months ago
Approximate dynamic programming using fluid and diffusion approximations with applications to power management
—TD learning and its refinements are powerful tools for approximating the solution to dynamic programming problems. However, the techniques provide the approximate solution only...
Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrish...