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» Methods of Automatic Algorithm Generation
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DAC
2007
ACM
16 years 5 months ago
Parameterized Macromodeling for Analog System-Level Design Exploration
In this paper we propose a novel parameterized macromodeling technique for analog circuits. Unlike traditional macromodels that are only extracted for a small variation space, our...
Jian Wang, Xin Li, Lawrence T. Pileggi
ICML
2005
IEEE
16 years 5 months ago
Relating reinforcement learning performance to classification performance
We prove a quantitative connection between the expected sum of rewards of a policy and binary classification performance on created subproblems. This connection holds without any ...
John Langford, Bianca Zadrozny
ICML
2003
IEEE
16 years 5 months ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
CVPR
2010
IEEE
16 years 18 days ago
Detecting and Parsing Architecture at City Scale from Range Data
We present a method for detecting and parsing buildings from unorganized 3D point clouds into a compact, hierarchical representation that is useful for high-level tasks. The input...
Alexander Toshev, Philippos Mordohai, Ben Taskar
OSS
2009
Springer
15 years 11 months ago
Heartbeat: Measuring Active User Base and Potential User Interest in FLOSS Projects
This paper presents a novel method and algorithm to measure the size of an open source project’s user base and the level of potential user interest that it generates. Previously ...
Andrea Wiggins, James Howison, Kevin Crowston