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ICML
2005
IEEE
15 years 11 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
77
Voted
CORR
2010
Springer
130views Education» more  CORR 2010»
14 years 10 months ago
Approximated Structured Prediction for Learning Large Scale Graphical Models
In this paper we propose an approximated structured prediction framework for large scale graphical models and derive message-passing algorithms for learning their parameters effic...
Tamir Hazan, Raquel Urtasun
AAAI
2006
15 years 12 hour ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
ISCAS
2007
IEEE
371views Hardware» more  ISCAS 2007»
15 years 4 months ago
FIR Filter Approximation by IIR Filters Based on Discrete-Time Vector Fitting
— We present a novel way of approximating FIR filters by IIR structures through generalizing the vector fitting (VF) algorithm, popularly used in continuous-time frequency-doma...
Ngai Wong, Chi-Un Lei
GLOBECOM
2007
IEEE
15 years 5 months ago
Initialization Techniques for Improved Convergence of LMS DFEs in Strong Interference Environments
— The least-mean square (LMS) decision-feedback equalizer (DFE) was previously shown [1], [2] to possess an extended convergence time in an interference limited environment. In [...
Arun Batra, James R. Zeidler, Aloysius A. Beex