Search results for "training algorithm"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Joel B. Predd, Sanjeev R. Kulkarni, H. Vincent Poor	A Collaborative Training Algorithm for Distributed Learning.	IEEE Transactions on Information Theory	2009	DBLP DOI BibTeX RDF
2	Jan Unkelbach, Yi Sun, Jürgen Schmidhuber	An EM Based Training Algorithm for Recurrent Neural Networks.	ICANN	2009	DBLP DOI BibTeX RDF	Particle Smoother, Recurrent neural networks, EM, Dynamical System identification
2	Volodymyr Turchenko, Lucio Grandinetti	Efficiency Analysis of Parallel Batch Pattern NN Training Algorithm on General-Purpose Supercomputer.	IWANN	2009	DBLP DOI BibTeX RDF	Batch pattern training, neural network, parallelization efficiency
2	Jin-Shea Kuo, Haizhou Li, Chih-Lung Lin	Harvesting Regional Transliteration Variants with Guided Search.	ICCPOL	2009	DBLP DOI BibTeX RDF	regional transliteration variants, cross-training algorithm, constraint-based exploration, transliteration, guided search
2	Qing Song, Yi-Lei Wu, Yeng Chai Soh	Robust Adaptive Gradient-Descent Training Algorithm for Recurrent Neural Networks in Discrete Time Domain.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
2	Swe Zin Kalayar Khine, Tin Lay Nwe, Haizhou Li	Singing voice detection in pop songs using co-training algorithm.	ICASSP	2008	DBLP DOI BibTeX RDF
2	John J. Wade, Liam McDaid, Jose A. Santos, Heather M. Sayers	SWAT: An unsupervised SNN training algorithm for classification problems.	IJCNN	2008	DBLP DOI BibTeX RDF
2	Jie Ni, Qing Song	Pruning Based Robust Backpropagation Training Algorithm for RBF Network Tracking Controller.	Journal of Intelligent and Robotic Systems	2007	DBLP DOI BibTeX RDF	dead zone, robust backpropagation, convergence, pruning, tracking controller
2	Kai Wang, Qingren Wang	A Margin Maximization Training Algorithm for BP Network.	ISNN	2007	DBLP DOI BibTeX RDF
2	Daiping Hu, Ruiming Wu, Dezhi Chen, Huiming Dou	An Improved Training Algorithm of Neural Networks for Time Series Forecasting.	MICAI	2007	DBLP DOI BibTeX RDF
2	Hui Wang, Liping Ji, Wanli Zuo	Best-Match Method Used in Co-training Algorithm.	PAKDD Workshops	2007	DBLP DOI BibTeX RDF	labeled data, text classification, expectation-maximization, Naive Bayes, co-training, unlabeled data, Best-match
2	Jia Liu, Chun Chen, Jiajun Bu, Mingyu You, Jianhua Tao	Speech Emotion Recognition using an Enhanced Co-Training Algorithm.	ICME	2007	DBLP DOI BibTeX RDF
2	Chun-Cheng Peng, George D. Magoulas	Adaptive Nonmonotone Conjugate Gradient Training Algorithm for Recurrent Neural Networks.	ICTAI	2007	DBLP DOI BibTeX RDF
2	Raul Vicen-Bueno, Maria P. Jarabo-Amores, David de la Mata-Moya, Manuel Rosa-Zurera, Roberto Gil-Pita	Low Complexity MLP-Based Radar Detector: Influence of the Training Algorithm and the MLP Size.	IWANN	2007	DBLP DOI BibTeX RDF
2	Douglas A. G. Vieira, João A. Vasconcelos, Walmir M. Caminhas	Controlling the parallel layer perceptron complexity using a multiobjective learning algorithm.	Neural Computing and Applications	2007	DBLP DOI BibTeX RDF	Parallel layer perceptron, Multiobjective training algorithm, Neural networks, Machine learning, Learning algorithms
2	Q. Li, Biing-Hwang Juang	Study of a Fast Discriminative Training Algorithm for Pattern Recognition.	IEEE Transactions on Neural Networks	2006	DBLP DOI BibTeX RDF
2	Zhongwei Li	A Support Vector Machine training Algorithm based on Cascade Structure.	ICICIC	2006	DBLP DOI BibTeX RDF
2	Kyoung Joo Kim, Jin Bae Park, Yoon Ho Choi	The Adaptive Learning Rates of Extended Kalman Filter Based Training Algorithm for Wavelet Neural Networks.	MICAI	2006	DBLP DOI BibTeX RDF
2	Jing Yang	An Improved Cascade SVM Training Algorithm with Crossed Feedbacks.	IMSCCS	2006	DBLP DOI BibTeX RDF
2	Takase Haruhiko, Kita Hidehiko, Hayashi Terumine	Fault tolerant training algorithm for multi-layer neural networks focused on hidden unit activities.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Thomas J. Strain, Liam McDaid, Liam P. Maguire, T. Martin McGinnity	A Supervised STDP Based Training Algorithm with Dynamic Threshold Neurons.	IJCNN	2006	DBLP DOI BibTeX RDF
2	XueMin Mao, Jie Yang	Time Series Prediction Using Nonlinear Support Vector Regression Based on Classification.	CIMCA/IAWTIC	2006	DBLP DOI BibTeX RDF	regression algorithm, time series, SVR (support vector regression), kernel function, training algorithm
2	Jie Yang 0007, Wei Wu, Zhiqiong Shao	A New Training Algorithm for a Fuzzy Perceptron and Its Convergence.	ISNN	2005	DBLP DOI BibTeX RDF
2	Bo Yang, Yadong Wang, Xiaohong Su	Research and Design of Distributed Neural Networks with Chip Training Algorithm.	ICNC	2005	DBLP DOI BibTeX RDF
2	Assaf Ben-Yishai, David Burshtein	A discriminative training algorithm for hidden Markov models.	IEEE Transactions on Speech and Audio Processing	2004	DBLP DOI BibTeX RDF
2	Xuechuan Wang, Kuldip K. Paliwal	A Modified Minimum Classification Error (MCE) Training Algorithm for Dimensionality Reduction.	VLSI Signal Processing	2002	DBLP DOI BibTeX RDF	MCE, PCA, speech recognition, dimensionality reduction, LDA
2	Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen	A Fast SVM Training Algorithm.	SVM	2002	DBLP DOI BibTeX RDF
2	Yanlai Li, Kuanquan Wang, David Zhang	Step Acceleration Based Training Algorithm for Feedforward Neural Networks.	ICPR	2002	DBLP DOI BibTeX RDF
2	Pedro Henrique Gouvea Coelho	An Extended RTRL Training Algorithm Using Hessian Matrix.	IJCNN	2000	DBLP DOI BibTeX RDF
2	S. Altug, H. Joel Trussell, Mo-Yuen Chow	A "mutual update" training algorithm for fuzzy adaptive logic control/decision network (FALCON).	IEEE Transactions on Neural Networks	1999	DBLP DOI BibTeX RDF
2	Qing Song, Jizhong Xiao, Yeng Chai Soh	Robust backpropagation training algorithm for multilayered neural tracking controller.	IEEE Transactions on Neural Networks	1999	DBLP DOI BibTeX RDF
2	Yan Li, A. B. Rad, W. Peng	An Enhanced Training Algorithm for Multilayer Neural Networks Based on Reference Output of Hidden Layer.	Neural Computing and Applications	1999	DBLP DOI BibTeX RDF
2	Domagoj Kovacevic, Sven Loncaric	Radial basis function-based image segmentation using a receptive field.	CBMS	1997	DBLP DOI BibTeX RDF	radial basis function-based image segmentation, CT head image automatic segmentation, spontaneous intra-cerebral brain hemorrhage, tissue classes, skull, calcifications, radial basis function artificial neural network, optimal basis functions, multi-layer perceptron neural network, image segmentation, feature extraction, expert system, normalization, regions of interest, brain, receptive field, training algorithm, pixel classification, network size
2	Matthew Brand, Nuria Oliver, Alex Pentland	Coupled hidden Markov models for complex action recognition.	CVPR	1997	DBLP DOI BibTeX RDF	complex action recognition, vision task, two-handed actions, Bayesian semantics, limited state memory, single-process model, training speeds, model likelihoods, hidden Markov models, robustness, dynamic time warping, dynamic behaviors, training algorithm, coupled hidden Markov models
2	Mou-Yen Chen, Amlan Kundu, Jian Zhou	Off-Line Handwritten Word Recognition Using a Hidden Markov Model Type Stochastic Network.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	off-line handwritten word recognition, hidden Markov model type stochastic network, totally unconstrained handwritten word recognition, heuristics based segmentation algorithm, image segmentation, hidden Markov models, character recognition, mathematical morphology, morphology, heuristic programming, Viterbi algorithm, training algorithm, signal detection
2	Norman P. Archer, Shouhong Wang	Learning Bias in Neural Networks and an Approach to Controlling Its Effect in Monotonic Classification.	IEEE Trans. Pattern Anal. Mach. Intell.	1993	DBLP DOI BibTeX RDF	boundary generation unpredictability, monotonic classification, backpropagation training algorithm, learning bias, multiarchitecture monotonic function neural networks, pattern recognition, pattern recognition, learning (artificial intelligence), neural nets, backpropagation
2	Bernhard E. Boser, Isabelle Guyon, Vladimir Vapnik	A Training Algorithm for Optimal Margin Classifiers.	COLT	1992	DBLP DOI BibTeX RDF
2	Michael S. Leonard, Kerry E. Kilpatrick	A Modified Fixed-Increment Training Algorithm.	IEEE Trans. Computers	1975	DBLP DOI BibTeX RDF	Fixed-increment training algorithm, linear pattern classifier
1	Ioannis E. Livieris, Panayiotis E. Pintelas	An Improved spectral conjugate Gradient Neural Network Training Algorithm.	International Journal on Artificial Intelligence Tools	2012	DBLP DOI BibTeX RDF
1	John Sum, Chi-Sing Leung, Kevin I.-J. Ho	On-Line Node Fault Injection Training Algorithm for MLP Networks: Objective Function and Convergence Analysis.	IEEE Trans. Neural Netw. Learning Syst.	2012	DBLP DOI BibTeX RDF
1	Derek Monner, James A. Reggia	A generalized LSTM-like training algorithm for second-order recurrent neural networks.	Neural Networks	2012	DBLP DOI BibTeX RDF
1	Huseyin Ozkan, Arda Akman, Suleyman Serdar Kozat	A Novel Training Algorithm for HMMs with Partial and Noisy Access to the States	CoRR	2012	DBLP BibTeX RDF
1	Antonios D. Niros, George E. Tsekouras	A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach.	Fuzzy Sets and Systems	2012	DBLP DOI BibTeX RDF
1	Tsendsuren Munkhdalai, Meijing Li, Taewook Kim, Oyun-Erdene Namsrai, Seon-phil Jeong, Jungpil Shin, Keun Ho Ryu	Bio Named Entity Recognition Based on Co-training Algorithm.	AINA Workshops	2012	DBLP DOI BibTeX RDF
1	Yang Li, Hong-Mei Li, Paul Burns, Mark Borodovsky, Gene E. Robinson, Jian Ma	TrueSight: Self-training Algorithm for Splice Junction Detection Using RNA-seq.	RECOMB	2012	DBLP DOI BibTeX RDF
1	Hong Chen, Li Kong, Wen-Jun Leng	Numerical solution of PDEs via integrated radial basis function networks with adaptive training algorithm.	Appl. Soft Comput.	2011	DBLP DOI BibTeX RDF
1	Xinghuo Yu, Bin Wang, Batsukh Batbayar, Liuping Wang, Zhihong Man	An improved training algorithm for feedforward neural network learning based on terminal attractors.	J. Global Optimization	2011	DBLP DOI BibTeX RDF
1	M. Serdar Bascil, Feyzullah Temurtas	A Study on Hepatitis Disease Diagnosis Using Multilayer Neural Network with Levenberg Marquardt Training Algorithm.	J. Medical Systems	2011	DBLP DOI BibTeX RDF
1	Alex Alexandridis, Haralambos Sarimveis, Konstantinos Ninos	A Radial Basis Function network training algorithm using a non-symmetric partition of the input space - Application to a Model Predictive Control configuration.	Advances in Engineering Software	2011	DBLP DOI BibTeX RDF
1	Evangelos Stromatias	Developing a supervised training algorithm for limited precision feed-forward spiking neural networks	CoRR	2011	DBLP BibTeX RDF
1	Ali Özen	A novel variable step size adjustment method based on channel output autocorrelation for the LMS training algorithm.	Int. J. Communication Systems	2011	DBLP DOI BibTeX RDF
1	Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Chunyan Miao	A new robust training algorithm for a class of single-hidden layer feedforward neural networks.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Chang Liu, Pong Chi Yuen	A Boosted Co-Training Algorithm for Human Action Recognition.	IEEE Trans. Circuits Syst. Video Techn.	2011	DBLP DOI BibTeX RDF
1	Jing Wang, Chi-Hsu Wang, C. L. Philip Chen	On the BP training algorithm of Fuzzy Neural Networks (FNNs) via its equivalent fully connected neural networks (FFNNs).	SMC	2011	DBLP DOI BibTeX RDF
1	Jair Cervantes, Asdrúbal López Chau, Farid García, Adrián Trueba	A Fast SVM Training Algorithm Based on a Decision Tree Data Filter.	MICAI	2011	DBLP DOI BibTeX RDF
1	Hong-li Wang, Rong-yi Cui	Semi-supervised Co-training Algorithm Based on Assisted Learning.	ICAIC	2011	DBLP DOI BibTeX RDF
1	Antti Airola, Tapio Pahikkala, Tapio Salakoski	An Improved Training Algorithm for the Linear Ranking Support Vector Machine.	ICANN	2011	DBLP DOI BibTeX RDF
1	Jacinto C. Nascimento, Gustavo Carneiro	Reducing the training set using semi-supervised self-training algorithm for segmenting the left ventricle in ultrasound images.	ICIP	2011	DBLP DOI BibTeX RDF
1	Mobarakol Islam, Arifur Rahaman, Md. Mehedi Hasan, M. Shahjahan	An Efficient Neural Network Training Algorithm with Maximized Gradient Function and Modulated Chaos.	ISCID	2011	DBLP DOI BibTeX RDF
1	Toshiki Wakamatsu, Haruhiko Takase, Hiroharu Kawanaka, Shinji Tsuruoka	A training algorithm for SpikeProp improving stability of learning process.	IJCNN	2011	DBLP DOI BibTeX RDF
1	Silvia Rota, Sonia Bergamaschi, Francesco Guerra	The list Viterbi training algorithm and its application to keyword search over databases.	CIKM	2011	DBLP DOI BibTeX RDF
1	Thomas J. Strain, L. J. McDaid, T. Martin McGinnity, Liam P. Maguire, Heather M. Sayers	An STDP Training Algorithm for a Spiking Neural Network with Dynamic Threshold Neurons.	Int. J. Neural Syst.	2010	DBLP DOI BibTeX RDF
1	John J. Wade, L. J. McDaid, Jose A. Santos, Heather M. Sayers	SWAT: A Spiking Neural Network Training Algorithm for Classification Problems.	IEEE Transactions on Neural Networks	2010	DBLP DOI BibTeX RDF
1	Volodymyr Turchenko, Lucio Grandinetti, George Bosilca, Jack J. Dongarra	Improvement of parallelization efficiency of batch pattern BP training algorithm using Open MPI.	Procedia CS	2010	DBLP DOI BibTeX RDF
1	Yi-Lei Wu, Fuchun Sun, Jinchuan Zheng, Qing Song	A robust training algorithm of discrete-time MIMO RNN and application in fault tolerant control of robotic system.	Neural Computing and Applications	2010	DBLP DOI BibTeX RDF
1	Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling, Herbert Ho-Ching Iu	Invariant Set of Weight of Perceptron Trained by Perceptron Training Algorithm.	IEEE Transactions on Systems, Man, and Cybernetics, Part B	2010	DBLP DOI BibTeX RDF
1	G. Y. Lian, K. L. Huang, J. H. Chen, F. Q. Gao	Training algorithm for radial basis function neural network based on quantum-behaved particle swarm optimization.	Int. J. Comput. Math.	2010	DBLP DOI BibTeX RDF
1	Ajoy Kumar Palit, Walter Anheier	Efficient Training Algorithm for Neuro-Fuzzy Network and its Application to Nonlinear Sensor Characteristic Linearization.	Intelligent Systems for Automated Learning and Adaptation	2010	DBLP DOI BibTeX RDF
1	Jie Yang 0009, Abdesselam Bouzerdoum, Son Lam Phung	A training algorithm for sparse LS-SVM using Compressive Sampling.	ICASSP	2010	DBLP DOI BibTeX RDF
1	Volodymyr Turchenko, Lucio Grandinetti	Application of BSP-Based Computational Cost Model to Predict Parallelization Efficiency of MLP Training Algorithm.	ICANN	2010	DBLP DOI BibTeX RDF
1	Wen-Yu Zhang, Xin Liu, Zhen-Hai Guo, Jian-Zhou Wang	Prediction of ozone concentration using back propagation neural network with a novel hybrid training algorithm.	ICNC	2010	DBLP DOI BibTeX RDF
1	Xianchuan Yu, Sha Dai, Dan Hu	An improved training algorithm of T-S model HHFNN based on ridge regression function.	ICNC	2010	DBLP DOI BibTeX RDF
1	Pengqian Xue, Xiaoyu Zhang, Yumin Pan	The amount prediction of gas emitted via wavelet neural network with improving training algorithm.	ICNC	2010	DBLP DOI BibTeX RDF
1	G. R. L. Silva, Douglas A. G. Vieira, A. C. Lisboa, Vasile Palade	On a Multiobjective Training Algorithm for RBF Networks Using Particle Swarm Optimization.	ICTAI	2010	DBLP DOI BibTeX RDF
1	Shasha Xie, Hui Lin, Yang Liu	Semi-supervised extractive speech summarization via co-training algorithm.	INTERSPEECH	2010	DBLP BibTeX RDF
1	Volodymyr Turchenko, Lucio Grandinetti	Scalability of Enhanced Parallel Batch Pattern BP Training Algorithm on General-Purpose Supercomputers.	DCAI	2010	DBLP DOI BibTeX RDF
1	Ricardo de A. Araújo, Adriano L. I. de Oliveira, Sérgio C. B. Soares	A covariance matrix adaptation based evolutionary methodology for phase adjustment in financial time series forecasting.	GECCO	2010	DBLP DOI BibTeX RDF	covariance matrix adaptation evolution strategy, multilayer perceptron networks, random walk dilemma, time phase adjustment, evolutionary algorithms, financial time series forecasting
1	Massih-Reza Amini, Cyril Goutte, Nicolas Usunier	Combining coregularization and consensus-based self-training for multilingual text categorization.	SIGIR	2010	DBLP DOI BibTeX RDF	learning from multiple views, multilingual document classification, semi-supervised learning
1	Kuansan Wang, Xiaolong Li, Jianfeng Gao	Multi-style language model for web scale information retrieval.	SIGIR	2010	DBLP DOI BibTeX RDF	mixture language models, probabilistic relevance model, information retrieval, parameter estimation, smoothing
1	Dongpo Xu, Zhengxue Li, Wei Wu	Convergence of gradient method for a fully recurrent neural network.	Soft Comput.	2010	DBLP DOI BibTeX RDF	Fully recurrent neural network, Gradient descent learning algorithm, Convergence, Monotonicity
1	Mounir Ben Nasr, Mohamed Chtourou	A fuzzy neighborhood-based training algorithm for feedforward neural networks.	Neural Computing and Applications	2009	DBLP DOI BibTeX RDF	Gradient descent algorithm, Supervised and unsupervised learning, Fuzzy self-organizing feature map, Hybrid training, Feedforward neural network
1	Shuang Feng, Hongxing Li, Dan Hu	A new training algorithm for HHFNN based on Gaussian membership function for approximation.	Neurocomputing	2009	DBLP DOI BibTeX RDF
1	Dong Yu, Li Deng, Yifan Gong, Alex Acero	A Novel Framework and Training Algorithm for Variable-Parameter Hidden Markov Models.	IEEE Transactions on Audio, Speech & Language Processing	2009	DBLP DOI BibTeX RDF
1	Yan Jun Liu, Xiaoqin Zeng, Shuiming Zhong, Shengli Wu	A Sensitivity-Based Training Algorithm with Architecture Adjusting for Madalines.	SMC	2009	DBLP DOI BibTeX RDF
1	Je Hun Jeon, Yang Liu	Semi-supervised Learning for Automatic Prosodic Event Detection Using Co-training Algorithm.	ACL/AFNLP	2009	DBLP BibTeX RDF
1	Chun-tao Man, Kun Wang, Li-Yong Zhang	A New Training Algorithm for RBF Neural Network Based on PSO and Simulation Study.	CSIE	2009	DBLP DOI BibTeX RDF
1	Rafal Dlugosz, Marta Kolasa	New Fast Training Algorithm Suitable for Hardware Kohonen Neural Networks Designed for Analysis of Biomedical Signals.	BIODEVICES	2009	DBLP BibTeX RDF
1	Songfang Huang, Steve Renals	A parallel training algorithm for hierarchical pitman-yor process language models.	INTERSPEECH	2009	DBLP BibTeX RDF
1	Sayaka Shiota, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda	Deterministic annealing based training algorithm for Bayesian speech recognition.	INTERSPEECH	2009	DBLP BibTeX RDF
1	Yu Zhang, Meixing Qi, Caidong Gu	Analysis of Mixed Inflammable Gases Based on Single Sensor and RBF Neural Network.	ICIC	2009	DBLP DOI BibTeX RDF	Gas analysis, Catalytic sensor, Dynamic training algorithm, RBF neural network
1	Chen Chen, Liu Hong, Haigang Song, Xueguang Chen, TieMin Hou	Study of Double SMO Algorithm Based on Attributes Reduction.	ISNN	2009	DBLP DOI BibTeX RDF	Data mining, Support vector machine, Attribute reduction, Training algorithm
1	Zidan A. Bashir, Mohamed E. El-Hawary	Load and locational marginal pricing prediction in competitive electrical power environment using computational intelligence.	CCECE	2009	DBLP DOI BibTeX RDF
1	Donald Gray, Ziang Zhang, Constantin Apostoaia, Chang Xu	A neural network based approach for the detection of faults in the brushless excitation of a synchronous motor.	EIT	2009	DBLP DOI BibTeX RDF
1	Yu Tsao, Chin-Hui Lee	An Ensemble Speaker and Speaking Environment Modeling Approach to Robust Speech Recognition.	IEEE Transactions on Audio, Speech & Language Processing	2009	DBLP DOI BibTeX RDF
1	Fu-Lai Chung, Zhaohong Deng, Shitong Wang	From Minimum Enclosing Ball to Fast Fuzzy Inference System Training on Large Datasets.	IEEE T. Fuzzy Systems	2009	DBLP DOI BibTeX RDF
1	Kei Wakabayashi, Takao Miura	Data Stream Prediction Using Incremental Hidden Markov Models.	DaWaK	2009	DBLP DOI BibTeX RDF	Hidden Markov Model, Data Stream, Forecasting, Incremental Learning
1	Michal Cernanský	Training Recurrent Neural Network Using Multistream Extended Kalman Filter on Multicore Processor and Cuda Enabled Graphic Processor Unit.	ICANN	2009	DBLP DOI BibTeX RDF
1	Derrick Takeshi Mirikitani, Lahcen Ouarbya	Modeling Dst with Recurrent EM Neural Networks.	ICANN	2009	DBLP DOI BibTeX RDF
1	Haris E. Psillakis	An Adaptive NN Controller with Second Order SMC-Based NN Weight Update Law for Asymptotic Tracking.	ICANN	2009	DBLP DOI BibTeX RDF
1	Hong Chen, Li Kong	Integrated Radial Basis Function Networks with Adaptive Residual Subsampling Training Method for Approximation and Solving PDEs.	ISNN	2009	DBLP DOI BibTeX RDF	Approximation, Radial basis functions, Partial differential equation, Collocation