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DAGSTUHL
2007
13 years 11 months ago
Incentive Compatible Regression Learning
We initiate the study of incentives in a general machine learning framework. We focus on a game-theoretic regression learning setting where private information is elicited from mu...
Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia
EMNLP
2008
13 years 11 months ago
Ranking Reader Emotions Using Pairwise Loss Minimization and Emotional Distribution Regression
This paper presents two approaches to ranking reader emotions of documents. Past studies assign a document to a single emotion category, so their methods cannot be applied directl...
Kevin Hsin-Yih Lin, Hsin-Hsi Chen
IJON
2010
159views more  IJON 2010»
13 years 4 months ago
Model predictive flight control using adaptive support vector regression
This paper explores an application of support vector regression (SVR) to model predictive control (MPC). SVR is employed to identify a dynamic system from input-output data, and t...
Jongho Shin, H. Jin Kim, Sewook Park, Youdan Kim
ICASSP
2011
IEEE
13 years 1 months ago
Sparse variable reduced rank regression via Stiefel optimization
Reduced rank regression (RRR) has found application in various fields of signal processing. In this paper we propose a novel extension of the RRR model which we call sparse varia...
Magnus O. Ulfarsson, Victor Solo
ITC
1997
IEEE
94views Hardware» more  ITC 1997»
14 years 2 months ago
Identification of Defective CMOS Devices Using Correlation and Regression Analysis of Frequency Domain Transient Signal Data
Transient Signal Analysis is a digital device testing method that is based on the analysis of voltage transients at multiple test points and on IDD switching transients on the sup...
James F. Plusquellic, Donald M. Chiarulli, Steven ...