Search results for "Gradient-descent"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
117	Pier Luca Lanzi, Martin V. Butz, David E. Goldberg	Empirical analysis of generalization and learning in XCS with gradient descent.	GECCO	2007	DBLP DOI BibTeX RDF	generalization, XCS, gradient descent, LCS, RL
113	Li Wan, Wee Keong Ng, Shuguo Han, Vincent C. S. Lee	Privacy-preservation for gradient descent methods.	KDD	2007	DBLP DOI BibTeX RDF	regression, privacy preservation, secure multi-party computation, gradient descent method
87	Mengjie Zhang 0001, William D. Smart	Genetic Programming with Gradient Descent Search for Multiclass Object Classification.	EuroGP	2004	DBLP DOI BibTeX RDF
77	Yuri B. Boiko, Gabriel A. Wainer	Parallel tracing of multiple trajectories in gradient descent algorithm with Cell Broadband Engine.	SpringSim	2009	DBLP BibTeX RDF	gradient descent algorithm, multiple trajectories, cell broadband engine
73	Thord Andersson, Gunnar Läthén, Reiner Lenz, Magnus Borga	A Fast Optimization Method for Level Set Segmentation.	SCIA	2009	DBLP DOI BibTeX RDF	Rprop, optimization, Image segmentation, active contours, level set method, gradient descent, variational problems
66	Stefan Klein 0001, Josien P. W. Pluim, Marius Staring, Max A. Viergever	Adaptive Stochastic Gradient Descent Optimisation for Image Registration.	Int. J. Comput. Vis.	2009	DBLP DOI BibTeX RDF	Stochastic gradient descent, Adaptive step sizes, Optimisation, Image registration, Parameter selection
66	Zhijie Ban, Zhimin Gu, Yu Jin 0003	A PPM Prediction Model Based on Stochastic Gradient Descent for Web Prefetching.	AINA	2008	DBLP DOI BibTeX RDF	Stochastic Gradient Descent, PPM, Web Prefetching
65	Bumghi Choi, Ju-Hong Lee, Tae-Su Park	Dual Gradient Descent Algorithm on Two-Layered Feed-Forward Artificial Neural Networks.	IEA/AIE	2007	DBLP DOI BibTeX RDF	Dual Gradient, Backpropagation, Local minima
63	Di Wang 0001, Xiao-Jun Zeng, John A. Keane	Intermediate Variable Normalization for Gradient Descent Learning for Hierarchical Fuzzy System.	IEEE Trans. Fuzzy Syst.	2009	DBLP DOI BibTeX RDF
63	Mengjie Zhang 0001, William D. Smart	Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition.	EvoWorkshops	2005	DBLP DOI BibTeX RDF
62	Abraham Flaxman, Adam Tauman Kalai, H. Brendan McMahan	Online convex optimization in the bandit setting: gradient descent without a gradient.	SODA	2005	DBLP BibTeX RDF
54	Baruch Awerbuch, Rohit Khandekar	Stateless distributed gradient descent for positive linear programs.	STOC	2008	DBLP DOI BibTeX RDF	distributed and stateless algorithms, linear programming, gradient descent, fast convergence
54	Jundi Xiong, Huihui Xiao, Renming Deng	Study on Adaptive Fuzzy Control System Based on Gradient Descent Learning Algorithm.	ICFIE	2007	DBLP DOI BibTeX RDF	Simulation, Adaptive, Fuzzy control, Gradient descent
54	M. Asunción Castaño, Francisco Casacuberta, A. Bonet	Training Simple Recurrent Networks Through Gradient Descent Algorithms.	IWANN	1997	DBLP DOI BibTeX RDF	Simple Recurrent Neural Networks, Gradient Descent, Training Algorithms, Language Understanding
53	Zhong Tao, C. Carl Jaffe, Hemant D. Tagare	Tunnelling Descent: A New Algorithm for Active Contour Segmentation of Ultrasound Images.	IPMI	2003	DBLP DOI BibTeX RDF
53	Nicol N. Schraudolph, Thore Graepel	Conjugate Directions for Stochastic Gradient Descent.	ICANN	2002	DBLP DOI BibTeX RDF
51	Qu-Tang Cai, Yangqiu Song, Chang-shui Zhang	Cost-sensitive boosting algorithms as gradient descent.	ICASSP	2008	DBLP DOI BibTeX RDF
51	Romuald Boné, Hubert Cardot	Time Delay Learning by Gradient Descent in Recurrent Neural Networks.	ICANN (2)	2005	DBLP DOI BibTeX RDF
51	Pantelis G. Bagos, Theodore Liakopoulos, Stavros J. Hamodrakas	Faster Gradient Descent Training of Hidden Markov Models, Using Individual Learning Rate Adaptation.	ICGI	2004	DBLP DOI BibTeX RDF
51	Xiannong Meng, Zhixiang Chen 0001, Amanda Spink	A Multiplicative Gradient Descent Search Algorithm fo User Preference Retrieval and its Application to Web Search.	ITCC	2003	DBLP DOI BibTeX RDF
51	R. Mike Cameron-Jones	Gradient Descent Style Leveraging of Decision Trees and Stumps for Misclassification Cost Performance.	Australian Joint Conference on Artificial Intelligence	2001	DBLP DOI BibTeX RDF
51	Nicolaos B. Karayiannis	Reformulated radial basis neural networks trained by gradient descent.	IEEE Trans. Neural Networks	1999	DBLP DOI BibTeX RDF
50	Hyeyoung Park, Tomoko Ozeki	Singularity and Slow Convergence of the EM algorithm for Gaussian Mixtures.	Neural Process. Lett.	2009	DBLP DOI BibTeX RDF	Gradient descent learning, Learning dynamics, Slow convergence, EM algorithm, Singularity
49	Ana M. González, José R. Dorronsoro	Natural Conjugate Gradient Training of Multilayer Perceptrons.	ICANN (1)	2006	DBLP DOI BibTeX RDF
49	David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth	Relative loss bounds for single neurons.	IEEE Trans. Neural Networks	1999	DBLP DOI BibTeX RDF
47	Dongpo Xu, Zhengxue Li, Wei Wu 0010	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
46	Kar-Ann Toh, Ke Zhi Mao	A Global Transformation Approach to RBF Neural Network Learning.	ICPR (2)	2002	DBLP DOI BibTeX RDF
45	Abdul Sattar 0003, Renaud Séguier	GGA-AAM: Novel heuristic method of gradient driven Genetic Algorithm for Active Appearance Models.	ICDIM	2008	DBLP DOI BibTeX RDF
45	Ana M. González, José R. Dorronsoro	A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons.	IJCNN	2006	DBLP DOI BibTeX RDF
44	Niels Chr. Overgaard, Ketut Fundana, Anders Heyden	Pose Invariant Shape Prior Segmentation Using Continuous Cuts and Gradient Descent on Lie Groups.	SSVM	2009	DBLP DOI BibTeX RDF
44	Geng Liang	Neuron Adaptive and Neural Network Based on Gradient Descent Searching Algorithm for Diagonalization of Relative Gain Sensitivity Matrix Decouple Control for MIMO System.	ICNSC	2008	DBLP DOI BibTeX RDF
42	Mauro Boccadoro, Yorai Wardi, Magnus Egerstedt, Erik I. Verriest	Optimal Control of Switching Surfaces in Hybrid Dynamical Systems.	Discret. Event Dyn. Syst.	2005	DBLP DOI BibTeX RDF	switching surfaces, hybrid systems, optimal control, obstacle avoidance, gradient descent
42	Robert Levinson, Ryan Weber	Chess Neighborhoods, Function Combination, and Reinforcement Learning.	Computers and Games	2000	DBLP DOI BibTeX RDF	value function approximation, exponentiated gradient, multi-layer neural nets, reinforcement learning, linear regression, gradient descent, temporal difference learning, computer chess
42	Shuguo Han, Wee Keong Ng, Li Wan, Vincent C. S. Lee	Privacy-Preserving Gradient-Descent Methods.	IEEE Trans. Knowl. Data Eng.	2010	DBLP DOI BibTeX RDF	stochastic approach, least square approach, Privacy-preserving data mining, secure multiparty computation, gradient-descent method
42	Xuefeng Chen, Xiabi Liu, Yunde Jia	Combining evolution strategy and gradient descent method for discriminative learning of bayesian classifiers.	GECCO	2009	DBLP DOI BibTeX RDF	max-min posterior pseudo-probabilities (mmp), evolution strategy, gradient descent, handwritten digit recognition, discriminative learning
42	Donald Metzler	Using gradient descent to optimize language modeling smoothing parameters.	SIGIR	2007	DBLP DOI BibTeX RDF	parameter estimation, language modeling, gradient descent
39	Dongpo Xu, Zhengxue Li, Wei Wu 0010, Xiaoshuai Ding, Di Qu	Convergence of Gradient Descent Algorithm for a Recurrent Neuron.	ISNN (3)	2007	DBLP DOI BibTeX RDF
39	Kai Song, Mingli Ding, Qi Wang 0034, Wenhui Liu	Blind Source Separation in Post-nonlinear Mixtures Using Natural Gradient Descent and Particle Swarm Optimization Algorithm.	ISNN (3)	2007	DBLP DOI BibTeX RDF
39	Delu Zeng, Shengli Xie, Zhiheng Zhou	Improved Clustering and Anisotropic Gradient Descent Algorithm for Compact RBF Network.	ICONIP (2)	2006	DBLP DOI BibTeX RDF
39	Jan Erik Solem, Niels Chr. Overgaard	A Geometric Formulation of Gradient Descent for Variational Problems with Moving Surfaces.	Scale-Space	2005	DBLP DOI BibTeX RDF	surface and curve evolution, geometric flows, functionals, level set methods, variational methods, differential geometry, gradient
39	Alan Herschtal, Bhavani Raskutti	Optimising area under the ROC curve using gradient descent.	ICML	2004	DBLP DOI BibTeX RDF
39	Finn Verner Jensen	Gradient Descent Training of Bayesian Networks.	ESCQARU	1999	DBLP DOI BibTeX RDF
38	Mounir Ben Nasr, Mohamed Chtourou	A fuzzy neighborhood-based training algorithm for feedforward neural networks.	Neural Comput. Appl.	2009	DBLP DOI BibTeX RDF	Gradient descent algorithm, Supervised and unsupervised learning, Fuzzy self-organizing feature map, Hybrid training, Feedforward neural network
38	Phong Q. Nguyen, Oded Regev 0001	Learning a Parallelepiped: Cryptanalysis of GGH and NTRU Signatures.	J. Cryptol.	2009	DBLP DOI BibTeX RDF	GGH, NTRUSign, Lattices, Moment, Gradient descent, Public-key cryptanalysis
38	Chih-Min Lin	Design and Applications of Cerebellar Model Articulation Controller.	Towards Intelligent Engineering and Information Technology	2009	DBLP DOI BibTeX RDF	Lyapunov stability theorem, linear ultrasonic motor, cerebellar model articulation controller (CMAC), biped robot, gradient descent method, uncertain nonlinear systems
38	Jingfa Liu, Yonglei Yao, Yu Zheng 0035, Huantong Geng, Guocheng Zhou	An Effective Hybrid Algorithm for the Circles and Spheres Packing Problems.	COCOA	2009	DBLP DOI BibTeX RDF	Circular packing, Spherical packing, Energy landscape paving, Combinatorial optimization, Gradient descent method
38	Yi-Hau Chen, Shao-Yi Chien, Ching-Yeh Chen, Yu-Wen Huang, Liang-Gee Chen	Analysis and Hardware Architecture Design of Global Motion Estimation.	J. Signal Process. Syst.	2008	DBLP DOI BibTeX RDF	MPEG-4 advanced simple profile, Mosaic, Gradient descent, Global motion estimation, Sprites
38	Jan Lellmann, Jonathan Balzer, Andreas Rieder, Jürgen Beyerer	Shape from Specular Reflection and Optical Flow.	Int. J. Comput. Vis.	2008	DBLP DOI BibTeX RDF	Deflectometry, Constrained gradient descent, Optical flow, Level sets, Shape from Shading, Specular surfaces
38	Shiliang Sun, Qiaona Chen	Kernel Regression with a Mahalanobis Metric for Short-Term Traffic Flow Forecasting.	IDEAL	2008	DBLP DOI BibTeX RDF	traffic flow forecasting, Mahalanobis metric, gradient descent, Euclidean metric, kernel regression
38	Christoph Tillmann, Tong Zhang 0001	A block bigram prediction model for statistical machine translation.	ACM Trans. Speech Lang. Process.	2007	DBLP DOI BibTeX RDF	stochastic gradient descent, machine learning, maximum entropy, Statistical machine translation
38	Michael S. Reid, Edgar A. Brown, Stephen P. DeWeerth	A parameter-space search algorithm tested on a Hodgkin-Huxley model.	Biol. Cybern.	2007	DBLP DOI BibTeX RDF	Conductance-based Hodgkin-Huxley model, Oscillatory neural behavior, Parameter-space exploration, Gradient descent, Neural modeling
38	Nurettin Acir	A modified hybrid neural network for pattern recognition and its application to SSW complex in EEG.	Neural Comput. Appl.	2006	DBLP DOI BibTeX RDF	Gradient descent algorithm, Asymmetric basis functions, Feature extraction, Electroencephalography
38	Mounir Ben Nasr, Mohamed Chtourou	A Hybrid Training Algorithm for Feedforward Neural Networks.	Neural Process. Lett.	2006	DBLP DOI BibTeX RDF	supervised and unsupervised learning, hybrid training, self-organizing map, feedforward neural network, gradient descent method
38	Pier Luca Lanzi, Daniele Loiacono	Standard and averaging reinforcement learning in XCS.	GECCO	2006	DBLP DOI BibTeX RDF	XCS, gradient descent, LCS, RL
38	George E. Tsekouras	Fuzzy Modeling Based on Ordinary Fuzzy Partitions and Nearest Neighbor Clustering.	J. Intell. Robotic Syst.	2005	DBLP DOI BibTeX RDF	ordinary fuzzy partitions, nearest neighbor clustering, Euclidean relative distance, cluster projection, orthogonal least squares, gradient descent
38	Rajoo Pandey	Fast Blind Equalization Using Complex-Valued MLP.	Neural Process. Lett.	2005	DBLP DOI BibTeX RDF	complex-valued feedforward neural network, constant modulus algorithm, stochastic gradient descent algorithm, blind equalization, recursive least square algorithm
38	Mohammad Fazle Azeem, Madasu Hanmandlu, Nesar Ahmad	Parameter determination for a generalized fuzzy model.	Soft Comput.	2005	DBLP DOI BibTeX RDF	Index of Fuzziness, Least Square Estimation and Gradient Descent, Fuzzy models, Hybrid Learning
38	Kim-Hui Yap, Kui Wu 0002	Fuzzy relevance feedback in content-based image retrieval systems using radial basis function network.	ICME	2005	DBLP DOI BibTeX RDF	fuzzy relevance feedback, CBIR system, fuzzy radial basis function network, FRBFN, learning approach, perceptual subjectivity, gradient-descent training strategy, soft-decision method, content-based image retrieval, image database
38	Mal-Rey Lee, Huinam Rhee, Kyung-Dal Cho, Beon-Joon Cho	Self-Tuning of the Fuzzy Inference Rule by Integrated Method.	J. Intell. Robotic Syst.	2002	DBLP DOI BibTeX RDF	series motor, genetic algorithm, neural network, gradient descent method
38	Daniel S. Yeung, Xizhao Wang	Improving Performance of Similarity-Based Clustering by Feature Weight Learning.	IEEE Trans. Pattern Anal. Mach. Intell.	2002	DBLP DOI BibTeX RDF	similarity-based clustering, fuzziness and nonspecificity, gradient-descent technique, clustering, transitive closure
38	Steve Lawrence, C. Lee Giles, Sandiway Fong	Natural Language Grammatical Inference with Recurrent Neural Networks.	IEEE Trans. Knowl. Data Eng.	2000	DBLP DOI BibTeX RDF	government-and-binding theory, principles-and-parameters framework, automata extraction, natural language processing, simulated annealing, Recurrent neural networks, grammatical inference, gradient descent
38	Ursula Iturranrán, Antonia J. Jones	Learning a Markov Process with a Synchronous Boltzmann Machine.	IWANN	1997	DBLP DOI BibTeX RDF	Learning, Synchronous, Markov process, Gradient-descent, Boltzmann machine
38	Santiago Rementeria, Xabier Olabe	A heuristic approach to structural and parametric change in artificial neural networks.	EUROMICRO	1997	DBLP DOI BibTeX RDF	structural change, parametric change, artificial neural network design, connectivity selection, synaptic model, weight updating, structure updating, training phase, nonessential connection pruning, saliency measure, discrete-time recurrent networks, feedforward perceptrons, classification tasks, connections reduction, heuristic programming, heuristic approach, gradient-descent methods
38	Ehsan Amid, Manfred K. Warmuth	Interpolating Between Gradient Descent and Exponentiated Gradient Using Reparameterized Gradient Descent.	CoRR	2020	DBLP BibTeX RDF
37	Shiliang Sun, Changshui Zhang	Learning On-Line Classification via Decorrelated LMS Algorithm: Application to Brain-Computer Interfaces.	Discovery Science	2005	DBLP DOI BibTeX RDF
36	Leo J. Grady, Christopher V. Alvino	Reformulating and Optimizing the Mumford-Shah Functional on a Graph - A Faster, Lower Energy Solution.	ECCV (1)	2008	DBLP DOI BibTeX RDF
36	Jan Erik Solem, Niels Chr. Overgaard, Markus Persson, Anders Heyden	Fast Variational Segmentation using Partial Extremal Initialization.	CVPR (1)	2006	DBLP DOI BibTeX RDF
36	Toshihiko Matsuka, Yasuaki Sakamoto, Jeffrey V. Nickerson, Arieta Chouchourelou	A Cognitive Model of Multi-objective Multi-concept Formation.	ICANN (1)	2006	DBLP DOI BibTeX RDF
36	Lixin Yu, Yan-Qing Zhang 0001	Evolutionary fuzzy neural networks for hybrid financial prediction.	IEEE Trans. Syst. Man Cybern. Part C	2005	DBLP DOI BibTeX RDF
36	Yi Wu 0005, Ching-Yung Lin, Edward Y. Chang, John R. Smith	Multimodal information fusion for video concept detection.	ICIP	2004	DBLP DOI BibTeX RDF
36	Nick K. Treadgold, Tamás D. Gedeon	Simulated annealing and weight decay in adaptive learning: the SARPROP algorithm.	IEEE Trans. Neural Networks	1998	DBLP DOI BibTeX RDF
36	Malcolm McIlhagga, Phil Husbands, Robert Ives	A Comparison of Search Techniques on a Wing-Box Optimisation Problem.	PPSN	1996	DBLP DOI BibTeX RDF
34	Ganesh Sundaramoorthi, Anthony J. Yezzi, Andrea Mennucci, Guillermo Sapiro	New Possibilities with Sobolev Active Contours.	Int. J. Comput. Vis.	2009	DBLP DOI BibTeX RDF	Sobolev norm, Global flows, Ill-posed flows, Active contours, Shape priors, Shape optimization, Gradient flows
34	Ganesh Sundaramoorthi, Anthony J. Yezzi, Andrea Mennucci, Guillermo Sapiro	New Possibilities with Sobolev Active Contours.	SSVM	2007	DBLP DOI BibTeX RDF
34	Nigel Duffy, David P. Helmbold	A Geometric Approach to Leveraging Weak Learners.	EuroCOLT	1999	DBLP DOI BibTeX RDF
33	Amit Dhariwal, Gaurav S. Sukhatme, Aristides A. G. Requicha	Bacterium-inspired Robots for Environmental Monitoring.	ICRA	2004	DBLP DOI BibTeX RDF
33	Coloma Ballester, Marcelo Bertalmío, Vicent Caselles, Guillermo Sapiro, Joan Verdera	Filling-in by joint interpolation of vector fields and gray levels.	IEEE Trans. Image Process.	2001	DBLP DOI BibTeX RDF
33	A. Ben Hamza, Hamid Krim	A Variational Approach to Maximum a Posteriori Estimation for Image Denoising.	EMMCVPR	2001	DBLP DOI BibTeX RDF
33	Heinrich Braun, Peter Zagorski	ENZO-M - A Hybrid Approach for Optimizing Neural Networks by Evolution and Learning.	PPSN	1994	DBLP DOI BibTeX RDF
32	Jan Erik Solem, Niels Chr. Overgaard	A Gradient Descent Procedure for Variational Dynamic Surface Problems with Constraints.	VLSM	2005	DBLP DOI BibTeX RDF
32	Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-Peter Meinzer	3D Active Shape Models Using Gradient Descent Optimization of Description Length.	IPMI	2005	DBLP DOI BibTeX RDF
32	Mario Costa, Davide Palmisano, Eros Pasero	Gradient Descent in Feed-Forward Networks with Binary Neurons.	IJCNN (1)	2000	DBLP DOI BibTeX RDF
32	Persia Jana Kamali, Pierfrancesco Urbani	Stochastic Gradient Descent outperforms Gradient Descent in recovering a high-dimensional signal in a glassy energy landscape.	CoRR	2023	DBLP DOI BibTeX RDF
32	Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu	Scaling transition from momentum stochastic gradient descent to plain stochastic gradient descent.	CoRR	2021	DBLP BibTeX RDF
32	Kun Zeng, Jinlan Liu, Zhixia Jiang, Dongpo Xu	Decreasing scaling transition from adaptive gradient descent to stochastic gradient descent.	CoRR	2021	DBLP BibTeX RDF
32	Abodunrin AbdulGafar Adigun, Chika Yinka-Banjo	Comparing Stochastic Gradient Descent and Mini-batch Gradient Descent Algorithms in Loan Risk Assessment.	ICIIA	2021	DBLP DOI BibTeX RDF
32	Kartik Ahuja, Amit Dhurandhar, Kush R. Varshney	Learning to Initialize Gradient Descent Using Gradient Descent.	CoRR	2020	DBLP BibTeX RDF
32	Nagihan Yagmur, Baris Baykant Alagöz	Comparision of Solutions of Numerical Gradient Descent Method and Continous Time Gradient Descent Dynamics and Lyapunov Stability.	SIU	2019	DBLP DOI BibTeX RDF
32	Chi Jin 0001, Praneeth Netrapalli, Michael I. Jordan	Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent.	COLT	2018	DBLP BibTeX RDF
32	Chi Jin 0001, Praneeth Netrapalli, Michael I. Jordan	Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent.	CoRR	2017	DBLP BibTeX RDF
32	Yutian Chen, Matthew W. Hoffman, Sergio Gomez Colmenarejo, Misha Denil, Timothy P. Lillicrap, Matthew M. Botvinick, Nando de Freitas	Learning to Learn without Gradient Descent by Gradient Descent.	ICML	2017	DBLP BibTeX RDF
32	Marcin Andrychowicz, Misha Denil, Sergio Gomez Colmenarejo, Matthew W. Hoffman, David Pfau, Tom Schaul, Nando de Freitas	Learning to learn by gradient descent by gradient descent.	CoRR	2016	DBLP BibTeX RDF
32	Marcin Andrychowicz, Misha Denil, Sergio Gomez Colmenarejo, Matthew W. Hoffman, David Pfau, Tom Schaul, Nando de Freitas	Learning to learn by gradient descent by gradient descent.	NIPS	2016	DBLP BibTeX RDF
31	Leah Bar, Guillermo Sapiro	Generalized Newton methods for energy formulations in image procesing.	ICIP	2008	DBLP DOI BibTeX RDF
31	Matthieu Bray, Esther Koller-Meier, Luc Van Gool	Smart Particle Filtering for 3D Hand Tracking.	FGR	2004	DBLP DOI BibTeX RDF
31	Masahiro Nagamatu, Torao Yanaru	Lagrangian Method for Satisfiability Problems of Propositional Calculus.	ANNES	1995	DBLP DOI BibTeX RDF	neural network, stability, satisfiability problem, Lagrangian method, propositional calculus
31	Kaori Yoshida, Torao Yanaru	A proposal of emotional memory model.	ANNES	1995	DBLP DOI BibTeX RDF	neural network, stability, satisfiability problem, Lagrangian method, propositional calculus
28	Son Lam Phung, Abdesselam Bouzerdoum	A Pyramidal Neural Network For Visual Pattern Recognition.	IEEE Trans. Neural Networks	2007	DBLP DOI BibTeX RDF
28	Daniel Lowd, Pedro M. Domingos	Efficient Weight Learning for Markov Logic Networks.	PKDD	2007	DBLP DOI BibTeX RDF
28	Roelof K. Brouwer	Training of a discrete recurrent neural network for sequence classification by using a helper FNN.	Soft Comput.	2005	DBLP DOI BibTeX RDF	Feed forward network, Derivative free training, Recurrent neural networks, Fit function