Keyword : supervised learning


Adversarial Domain Adaptation Network for Semantic Role Classification
Haitong YANG Guangyou ZHOU Tingting HE Maoxi LI 
Publication:   
Publication Date: 2019/12/01
Vol. E102-D  No. 12 ; pp. 2587-2594
Type of Manuscript:  PAPER
Category: Natural Language Processing
Keyword: 
argument classificationdomain adaptionadversarial domain adaptationsupervised learning
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Automatic Lung Nodule Detection in CT Images Using Convolutional Neural Networks
Furqan SHAUKAT Kamran JAVED Gulistan RAJA Junaid MIR Muhammad Laiq Ur Rahman SHAHID 
Publication:   
Publication Date: 2019/10/01
Vol. E102-A  No. 10 ; pp. 1364-1373
Type of Manuscript:  PAPER
Category: Image
Keyword: 
CADCTCNNfeature extractionsupervised learning
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Deep Neural Network Based Monaural Speech Enhancement with Low-Rank Analysis and Speech Present Probability
Wenhua SHI Xiongwei ZHANG Xia ZOU Meng SUN Wei HAN Li LI Gang MIN 
Publication:   
Publication Date: 2018/03/01
Vol. E101-A  No. 3 ; pp. 585-589
Type of Manuscript:  LETTER
Category: Noise and Vibration
Keyword: 
speech enhancementdeep neural networkssparse and low-rank decompositionsupervised learning
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Scalable Hardware Winner-Take-All Neural Network with DPLL
Masaki AZUMA Hiroomi HIKAWA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2015/10/01
Vol. E98-D  No. 10 ; pp. 1838-1846
Type of Manuscript:  PAPER
Category: Biocybernetics, Neurocomputing
Keyword: 
neural networkwinner-take-allsupervised learningdigital phase-locked loophardware architecture
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Accurate Image Separation Method for Two Closely Spaced Pedestrians Using UWB Doppler Imaging Radar and Supervised Learning
Kenshi SAHO Hiroaki HOMMA Takuya SAKAMOTO Toru SATO Kenichi INOUE Takeshi FUKUDA 
Publication:   IEICE TRANSACTIONS on Communications
Publication Date: 2014/06/01
Vol. E97-B  No. 6 ; pp. 1223-1233
Type of Manuscript:  PAPER
Category: Sensing
Keyword: 
human imagingclosely-spaced pedestriansimage separationUWB Doppler radarsupervised learningsupport vector machine (SVM)
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Sparsification and Stability of Simple Dynamic Binary Neural Networks
Jungo MORIYASU Toshimichi SAITO 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2014/04/01
Vol. E97-A  No. 4 ; pp. 985-988
Type of Manuscript:  LETTER
Category: Nonlinear Problems
Keyword: 
supervised learningmulti-layer perceptronstabilityswitching power converters
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Learning of Simple Dynamic Binary Neural Networks
Ryota KOUZUKI Toshimichi SAITO 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2013/08/01
Vol. E96-A  No. 8 ; pp. 1775-1782
Type of Manuscript:  PAPER
Category: Neural Networks and Bioengineering
Keyword: 
neural networkssupervised learningcorrelation learninggenetic algorithmsdc-ac inverters
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Self-Organizing Digital Spike Maps for Learning of Spike-Trains
Takashi OGAWA Toshimichi SAITO 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2011/12/01
Vol. E94-A  No. 12 ; pp. 2845-2852
Type of Manuscript:  PAPER
Category: Nonlinear Problems
Keyword: 
digital spiking neuronscellular automatonspike-trainssupervised learning
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What Can We See behind Sampling Theorems?
Hidemitsu OGAWA 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2009/03/01
Vol. E92-A  No. 3 ; pp. 688-695
Type of Manuscript:  INVITED PAPER (Special Section on Latest Advances in Fundamental Theories of Signal Processing)
Category: 
Keyword: 
sampling theoreminverse problemimage restorationcomputerized tomographysupervised learning
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An Unsupervised Opinion Mining Approach for Japanese Weblog Reputation Information Using an Improved SO-PMI Algorithm
Guangwei WANG Kenji ARAKI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2008/04/01
Vol. E91-D  No. 4 ; pp. 1032-1041
Type of Manuscript:  PAPER
Category: Data Mining
Keyword: 
SO-PMIopinion miningWeblog reputation informationsentiment analysisunsupervised learningsupervised learning
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A New Meta-Criterion for Regularized Subspace Information Criterion
Yasushi HIDAKA Masashi SUGIYAMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2007/11/01
Vol. E90-D  No. 11 ; pp. 1779-1786
Type of Manuscript:  PAPER
Category: Pattern Recognition
Keyword: 
supervised learninggeneralization capabilitymodel selectionunbiased estimatorregularized subspace information criterion
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Analytic Optimization of Adaptive Ridge Parameters Based on Regularized Subspace Information Criterion
Shun GOKITA Masashi SUGIYAMA Keisuke SAKURAI 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2007/11/01
Vol. E90-A  No. 11 ; pp. 2584-2592
Type of Manuscript:  PAPER
Category: Neural Networks and Bioengineering
Keyword: 
supervised learninggeneralization errormodel selectionregularized subspace information criterion
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Generalization Error Estimation for Non-linear Learning Methods
Masashi SUGIYAMA 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2007/07/01
Vol. E90-A  No. 7 ; pp. 1496-1499
Type of Manuscript:  LETTER
Category: Neural Networks and Bioengineering
Keyword: 
supervised learninggeneralization capabilitymodel selectionsubspace information criterionnon-linear learning
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Analytic Optimization of Shrinkage Parameters Based on Regularized Subspace Information Criterion
Masashi SUGIYAMA Keisuke SAKURAI 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2006/08/01
Vol. E89-A  No. 8 ; pp. 2216-2225
Type of Manuscript:  PAPER
Category: Neural Networks and Bioengineering
Keyword: 
supervised learninggeneralization capabilitymodel selectionshrinkage estimatorregularized subspace information criterion
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Constructing Kernel Functions for Binary Regression
Masashi SUGIYAMA Hidemitsu OGAWA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2006/07/01
Vol. E89-D  No. 7 ; pp. 2243-2249
Type of Manuscript:  PAPER
Category: Pattern Recognition
Keyword: 
supervised learningregressionkernel methodskernel functionsKarhunen-Loeve expansionprincipal component analysisbinary regressionGaussian kernel
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Active Learning with Model Selection -- Simultaneous Optimization of Sample Points and Models for Trigonometric Polynomial Models
Masashi SUGIYAMA Hidemitsu OGAWA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2003/12/01
Vol. E86-D  No. 12 ; pp. 2753-2763
Type of Manuscript:  PAPER
Category: Pattern Recognition
Keyword: 
supervised learninggeneralization capabilityactive learningmodel selectiontrigonometric polynomial space
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A GA-Based Learning Algorithm for Binary Neural Networks
Masanori SHIMADA Toshimichi SAITO 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2002/11/01
Vol. E85-A  No. 11 ; pp. 2544-2546
Type of Manuscript:  LETTER
Category: Nonlinear Problems
Keyword: 
binary neural networkssupervised learningseparating hyperplanegenetic algorithm (GA)
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Active Learning for Optimal Generalization in Trigonometric Polynomial Models
Masashi SUGIYAMA Hidemitsu OGAWA 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2001/09/01
Vol. E84-A  No. 9 ; pp. 2319-2329
Type of Manuscript:  PAPER
Category: Algorithms and Data Structures
Keyword: 
supervised learningactive learninggeneralization capabilitytrigonometric polynomial spacepseudo orthogonal bases
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An Approach to Vehicle Recognition Using Supervised Learning
Takeo KATO Yoshiki NINOMIYA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2000/07/25
Vol. E83-D  No. 7 ; pp. 1475-1479
Type of Manuscript:  Special Section PAPER (Special Issue on Machine Vision Applications)
Category: 
Keyword: 
vehicle recognitionsupervised learningMQDFquantitative evaluation
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Realization of Admissibility for Supervised Learning
Akira HIRABAYASHI Hidemitsu OGAWA Akiko NAKASHIMA 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2000/05/25
Vol. E83-D  No. 5 ; pp. 1170-1176
Type of Manuscript:  PAPER
Category: Biocybernetics, Neurocomputing
Keyword: 
supervised learninggeneralizationtraining errorover-fittingadmissibility
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Synthesis and Analysis of a Digital Chaos Circuit Generating Multiple-Scroll Strange Attractors
Kei EGUCHI Takahiro INOUE Akio TSUNEDA 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1999/06/25
Vol. E82-A  No. 6 ; pp. 965-972
Type of Manuscript:  Special Section PAPER (Special Section of Papers Selected from 1998 International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC '98))
Category: 
Keyword: 
Chua's circuitneuro-fuzzy circuitssupervised learningdiscrete-time circuitsdigital circuitintegrated circuit
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A Flexible Learning Algorithm for Binary Neural Networks
Atsushi YAMAMOTO Toshimichi SAITO 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1998/09/25
Vol. E81-A  No. 9 ; pp. 1925-1930
Type of Manuscript:  PAPER
Category: Neural Networks
Keyword: 
binary neural networksboolean functionsupervised learningmulti-layer perceptronfunction approximation
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Design of a Digital Chaos Circuit with Nonlinear Mapping Function Learning Ability
Kei EGUCHI Takahiro INOUE Akio TSUNEDA 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1998/06/25
Vol. E81-A  No. 6 ; pp. 1223-1230
Type of Manuscript:  PAPER
Category: Nonlinear Problems
Keyword: 
chaos circuitsneuro-fuzzy circuitssupervised learningdiscrete-time circuitsdigital circuitsintegrated circuits
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A Current-Mode Sampled-Data Chaos Circuit with Nonlinear Mapping Function Learning
Kei EGUCHI Takahiro INOUE Kyoko TSUKANO 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1997/09/25
Vol. E80-A  No. 9 ; pp. 1572-1577
Type of Manuscript:  Special Section PAPER (Special Section on Nonlinear Theory and its Applications)
Category: 
Keyword: 
chaos circuitsneuro-fuzzy circuitssupervised learningswitched currentdiscrete-time circuitsanalog circuits
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Radar Signal Clustering and Deinterleaving by a Neural Network
Hsuen-Chyun SHYU Chin-Chi CHANG Yueh-Jyun LEE Ching-Hai LEE 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1997/05/25
Vol. E80-A  No. 5 ; pp. 903-911
Type of Manuscript:  PAPER
Category: Neural Networks
Keyword: 
deinterleavingneural networksupervised learningunsupervised learning
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Multiple-Valued Neuro-Algebra
Zheng TANG Okihiko ISHIZUKA Hiroki MATSUMOTO 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1993/09/25
Vol. E76-A  No. 9 ; pp. 1541-1543
Type of Manuscript:  LETTER
Category: Neural Networks
Keyword: 
multiple-valued algebrafunctional completenesscanonical formsupervised learning
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Forced Formation of a Geometrical Feature Space by a Neural Network Model with Supervised Learning
Toshiaki TAKEDA Hiroki MIZOE Koichiro KISHI Takahide MATSUOKA 
Publication:   IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1993/07/25
Vol. E76-A  No. 7 ; pp. 1129-1132
Type of Manuscript:  Special Section LETTER (Special Section of Letters Selected from the 1993 IEICE Spring Conference)
Category: 
Keyword: 
feature spacegeometrical patternneural networksupervised learningrotation invariant recognition
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