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Spaceefficient variants of cryptosystems based on learning with errors
, 2013
"... Abstract. We consider public key encryption based on the learning with errors problem (LWE). There are several reasons why this encryption scheme is not considered to be practical, and one of the most commonly cited is the size of the public key. However, there is a simple way to greatly reduce the ..."
Abstract

Cited by 2 (1 self)
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are not chosen uniformly modulo q but are instead “small”. We give evidence that binary matrices might be secure for LWE encryption. We remark that binary matrices are not secure for RingLWE encryption. The aim of the paper is not to make a complete proposal for practical use, but to raise some questions
Improved Protein Secondary Structure Prediction Using Support Vector Machine With a New Encoding Scheme and an Advanced Tertiary Classifier
 IEEE Transactions on Nanobioscience
, 2004
"... Abstract—Prediction of protein secondary structures is an important problem in bioinformatics and has many applications. The recent trend of secondary structure prediction studies is mostly based on the neural network or the support vector machine (SVM). The SVM method is a comparatively new learnin ..."
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Cited by 13 (3 self)
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learning system which has mostly been used in pattern recognition problems. In this study, SVM is used as a machine learning tool for the prediction of secondary structure and several encoding schemes, including orthogonal matrix, hydrophobicity matrix, BLOSUM62 substitution matrix, and combined matrix
Audio chord estimation using chroma reduced spectrogram and selfsimilarity
 in Proceedings of the Music Information Retrieval Evaluation Exchange (MIREX
, 2012
"... In this paper we describe a method of audio chord estimation than does not rely on any machine learning technique. We calculate a beatsynchronized spectrogram with high time and frequency resolution. The sequence of chroma vectors (CRP features based on constantQ transform) obtained from spectrogr ..."
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Cited by 2 (0 self)
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In this paper we describe a method of audio chord estimation than does not rely on any machine learning technique. We calculate a beatsynchronized spectrogram with high time and frequency resolution. The sequence of chroma vectors (CRP features based on constantQ transform) obtained from
HUNG HUNG∗
, 2012
"... Let Y be the binary response and X be the p × q covariate matrix. Hung and Wang (2013) consider the matrixvariate logistic (MVlogistic) regression model: logit{P(Y = 1X)} = γ + vec(ξ)Tvec(X) with ξ = αβT, (1.1) where γ is the intercept and ξ ∈Rp×q is the parameter matrix. We appreciate the refer ..."
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Let Y be the binary response and X be the p × q covariate matrix. Hung and Wang (2013) consider the matrixvariate logistic (MVlogistic) regression model: logit{P(Y = 1X)} = γ + vec(ξ)Tvec(X) with ξ = αβT, (1.1) where γ is the intercept and ξ ∈Rp×q is the parameter matrix. We appreciate
doi:10.1093/biostatistics/kxs040 Rejoinder to doi:10.1093/biostatistics/kxs039
"... Let Y be the binary response and X be the p × q covariate matrix. Hung and Wang (2012) consider the matrixvariate logistic (MVlogistic) regression model: logit{P(Y = 1X)} = γ + vec(ξ)Tvec(X) with ξ = αβT, (1.1) where γ is the intercept and ξ ∈Rp×q is the parameter matrix. We appreciate the refer ..."
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Let Y be the binary response and X be the p × q covariate matrix. Hung and Wang (2012) consider the matrixvariate logistic (MVlogistic) regression model: logit{P(Y = 1X)} = γ + vec(ξ)Tvec(X) with ξ = αβT, (1.1) where γ is the intercept and ξ ∈Rp×q is the parameter matrix. We appreciate
Complexity of Computing Various Generalized VCdimensions
, 1993
"... In the PAClearning model, the VapnikChervonenkis (VC) dimension plays the key role to estimate the polynomialsample learnability of a class of binary functions. For a class of multivalued functions, the notion has been generalized in various ways. This paper investigates the complexity of comput ..."
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In the PAClearning model, the VapnikChervonenkis (VC) dimension plays the key role to estimate the polynomialsample learnability of a class of binary functions. For a class of multivalued functions, the notion has been generalized in various ways. This paper investigates the complexity
permission. Structured Codes in Information Theory: MIMO and Network Applications
"... All rights reserved. ..."
IEEE TRANSACTIONS ON INFORMATION THEORY (SUBMITTED) 1 Noisy Matrix Completion under Sparse Factor Models
"... ar ..."
under a Creative Commons Attribution NonCommercial No Derivatives
, 2013
"... the condition that they attribute it, that they do not use it for commercial purposes and that they do not alter, transform or build upon it. For any reuse or redistribution, researchers must make clear to others the licence terms of this work. ..."
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the condition that they attribute it, that they do not use it for commercial purposes and that they do not alter, transform or build upon it. For any reuse or redistribution, researchers must make clear to others the licence terms of this work.
POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES PAR
"... 2010 to my wife, Joyce, and my family... Résumé ..."
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