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JMLR
2010
173views more  JMLR 2010»
13 years 2 months ago
Conditional Density Estimation via Least-Squares Density Ratio Estimation
Estimating the conditional mean of an inputoutput relation is the goal of regression. However, regression analysis is not sufficiently informative if the conditional distribution ...
Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, T...
ICTAI
2005
IEEE
14 years 28 days ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
ISCAS
2007
IEEE
91views Hardware» more  ISCAS 2007»
14 years 1 months ago
Fundamental Performance Limits in Lossy Polyphase Systems: Apparent Power and Optimal Compensation
— The paper formulates and solves the problem of optimizing power flows in polyphase systems with significant source (line) impedance. We present two fundamental performance bo...
Hanoch Lev-Ari, Alex M. Stankovic
COCO
2005
Springer
150views Algorithms» more  COCO 2005»
14 years 26 days ago
The Quantum Adversary Method and Classical Formula Size Lower Bounds
We introduce two new complexity measures for Boolean functions, which we name sumPI and maxPI. The quantity sumPI has been emerging through a line of research on quantum query com...
Sophie Laplante, Troy Lee, Mario Szegedy
NECO
2002
100views more  NECO 2002»
13 years 7 months ago
Robust Regression with Asymmetric Heavy-Tail Noise Distributions
In the presence of a heavy-tail noise distribution, regression becomes much more di cult. Traditional robust regression methods assume that the noise distribution is symmetric and...
Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori