Learnability and the Vapnik-Chervonenkis dimension
Journal of the ACM (JACM)
A learning method for neural networks with a subordinate evaluation function
SAC '92 Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing: technological challenges of the 1990's
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Constructive higher-order network that is polynomial time
Neural Networks
Consistency of multilayer perceptron regression estimators
Neural Networks
Finiteness results for sigmoidal “neural” networks
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Bounds for the computational power and learning complexity of analog neural nets
STOC '93 Proceedings of the twenty-fifth annual ACM symposium on Theory of computing
Lower bounds on the Vapnik-Chervonenkis dimension of multi-layer threshold networks
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers
COLT '93 Proceedings of the sixth annual conference on Computational learning theory
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Lower bounds on the VC-dimension of smoothly parametrized function classes
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
1994 Special Issue: Design and evolution of modular neural network architectures
Neural Networks - Special issue: models of neurodynamics and behavior
Transparent remote execution in LAHNOS by means of a neural network device
ACM SIGOPS Operating Systems Review
Sample sizes for sigmoidal neural networks
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
VC dimension of an integrate-and-fire neuron model
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
PAC-like upper bounds for the sample complexity of leave-one-out cross-validation
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Controlling hidden layer capacity through lateral connections
Neural Computation
Shape quantization and recognition with randomized trees
Neural Computation
Improved boosting algorithms using confidence-rated predictions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
A Shift-Invariant Neural Network for the Lung FieldSegmentation in Chest Radiography
Journal of VLSI Signal Processing Systems - special issue on applications of neural networks in biomedical image processing
Nonlinear Versus Linear Learning Devices: A Procedural Perspective
Computational Economics
Prequential and Cross-Validated Regression Estimation
Machine Learning
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
On the Sample Complexity for Nonoverlapping Neural Networks
Machine Learning
Clustered Recursive Branching Network
Neural Processing Letters
Evolving and messaging decision-making agents
Proceedings of the fifth international conference on Autonomous agents
A note on a scale-sensitive dimension of linear bounded functionals in Banach spaces
Theoretical Computer Science
Model abstraction for discrete event systems using neural networks and sensitivity information
Proceedings of the 32nd conference on Winter simulation
An Edge-Preserving Image Reconstruction Using Neural Network
Journal of Mathematical Imaging and Vision
Incremental Learning with Respect to New Incoming Input Attributes
Neural Processing Letters
Model complexity control and statisticallearning theory
Natural Computing: an international journal
A Recency Inference Engine for Connectionist Knowledge Bases
Applied Intelligence
Variable Hidden Layer Sizing in Elman Recurrent Neuro-Evolution
Applied Intelligence
International Journal of Computer Vision - Special issue on statistical and computational theories of vision: Part II
An approach to guaranteeing generalisation in neural networks
Neural Networks
Estimates of average complexity of neurocontrol algorithms
Neural Networks
Advances in Feedforward Neural Networks: Demystifying Knowledge Acquiring Black Boxes
IEEE Transactions on Knowledge and Data Engineering
Knowledge Discovery by Inductive Neural Networks
IEEE Transactions on Knowledge and Data Engineering
An Expert Network for DNA Sequence Analysis
IEEE Intelligent Systems
A geometric approach to leveraging weak learners
Theoretical Computer Science
A data-mining approach to improving polycythemia vera diagnosis
Computers and Industrial Engineering
Adaptive Graphical Pattern Recognition Beyond Connectionist-Based Approaches
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Structural Complexity and Neural Networks
WIRN VIETRI 2002 Proceedings of the 13th Italian Workshop on Neural Nets-Revised Papers
On the Generalization Ability of Recurrent Networks
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
An Artificial Neural Network for 3D Localization of Brainstem Functional Lesions
ISMDA '02 Proceedings of the Third International Symposium on Medical Data Analysis
Feature Reduction for Neural Network Based Text Categorization
DASFAA '99 Proceedings of the Sixth International Conference on Database Systems for Advanced Applications
EuroCOLT '99 Proceedings of the 4th European Conference on Computational Learning Theory
On the Sample Complexity for Neural Trees
ALT '98 Proceedings of the 9th International Conference on Algorithmic Learning Theory
Theoretical Views of Boosting and Applications
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
AI Tools for Software Development Effort Estimation
SEEP '96 Proceedings of the 1996 International Conference on Software Engineering: Education and Practice (SE:EP '96)
Extracting symbolic rules from trained neural network ensembles
AI Communications - Special issue on Artificial intelligence advances in China
Intelligent data analysis
Intrinsic generalization analysis of low dimensional representations
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
Asymptotic properties of the Fisher kernel
Neural Computation
Ensemble modelling or selecting the best model: Many could be better than one
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Simultaneous optimization of neural network function and architecture algorithm
Decision Support Systems
Learning adaptive kernels for model diagnosis
Design and application of hybrid intelligent systems
Generalization Error Bounds for Threshold Decision Lists
The Journal of Machine Learning Research
Online learning of conditionally I.I.D. data
ICML '04 Proceedings of the twenty-first international conference on Machine learning
An asymptotic statistical theory of polynomial kernel methods
Neural Computation
On data classification by iterative linear partitioning
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
Employee turnover: a neural network solution
Computers and Operations Research
Feedforward Neural Network Construction Using Cross Validation
Neural Computation
Random Embedding Machines for Pattern Recognition
Neural Computation
The VC Dimension for Mixtures of Binary Classifiers
Neural Computation
Generalization and Selection of Examples in Feedforward Neural Networks
Neural Computation
Extracting symbolic rules from trained neural network ensembles
AI Communications - Artificial Intelligence Advances in China
Adjusted fair scheduling and non-linear workload prediction for QoS guarantees in grid computing
Computer Communications
Pattern Recognition for Conditionally Independent Data
The Journal of Machine Learning Research
Discriminative feature selection via multiclass variable memory Markov model
EURASIP Journal on Applied Signal Processing
A domain-independentwindow approach to multiclass object detection using genetic programming
EURASIP Journal on Applied Signal Processing
Pattern Recognition
Information Sciences: an International Journal
Learning curves for error minimum and maximum likelihood algorithms
Neural Computation
Temporal evolution of generalization during learning in linear networks
Neural Computation
The transition to perfect generalization in perceptrons
Neural Computation
Generalization effects of k-neighbor interpolation training
Neural Computation
Neural Computation
Neural Computation
Backpropagation applied to handwritten zip code recognition
Neural Computation
Neural Computation
Neural Computation
Learning and generalization in cascade network architectures
Neural Computation
Vapnik-chervonenkis generalization bounds for real valued neural networks
Neural Computation
Vc dimension of an integrate-and-fire neuron model
Neural Computation
Vapnik-chervonenkis dimension bounds for two-and three-layer networks
Neural Computation
The Influence of the Risk Functional in Data Classification with MLPs
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Improved Learning Algorithms of SLFN for Approximating Periodic Function
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
The application of artificial neural networks to the analysis of remotely sensed data
International Journal of Remote Sensing
Automatic classification of Tamil documents using vector space model and artificial neural network
Expert Systems with Applications: An International Journal
Prediction in electronics based on limited information
EHAC'09 Proceedings of the 8th WSEAS international conference on Electronics, hardware, wireless and optical communication
MUSP'09 Proceedings of the 9th WSEAS international conference on Multimedia systems & signal processing
Connectionist theory refinement: genetically searching the space of network topologies
Journal of Artificial Intelligence Research
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
A brief introduction to boosting
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Study of neural net training methods in parallel and distributed architectures
Future Generation Computer Systems
Designing neural networks for tackling hard classification problems
WSEAS TRANSACTIONS on SYSTEMS
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
An aggregation approach to short-term traffic flow prediction
IEEE Transactions on Intelligent Transportation Systems
A prediction interval-based approach to determine optimal structures of neural network metamodels
Expert Systems with Applications: An International Journal
On the Use of the Adjusted Rand Index as a Metric for Evaluating Supervised Classification
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Developing optimal neural network metamodels based on prediction intervals
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
On data classification by iterative linear partitioning
Discrete Applied Mathematics
Neural network architecture selection: can function complexity help?
Neural Processing Letters
Output partitioning of neural networks
Neurocomputing
Generalization error analysis for polynomial kernel methods: algebraic geometrical approach
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Estimating the size of neural networks from the number of available training data
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Parallel implementation of a neural net training application in a heterogeneous grid environment
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part II
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Identification, Modelling and Prediction of Non-periodic Bursts in Workloads
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Constructive neural networks to predict breast cancer outcome by using gene expression profiles
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Visual focus of attention in adaptive language acquisition
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
Connectionist architectural learning for high performance character and speech recognition
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Neural network architecture selection: size depends on function complexity
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Extension of the generalization complexity measure to real valued input data sets
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Role of function complexity and network size in the generalization ability of feedforward networks
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Model of a sensory-behavioral relation mechanism for aggressive behavior in crickets
Robotics and Autonomous Systems
Paper: Neural network based classification of single-trial EEG data
Artificial Intelligence in Medicine
Paper: On the quality of neural net classifiers
Artificial Intelligence in Medicine
Neural network based modelling of environmental variables: A systematic approach
Mathematical and Computer Modelling: An International Journal
Performance measures, consistency, and power for artificial neural network models
Mathematical and Computer Modelling: An International Journal
Image compression with a dynamic autoassociative neural network
Mathematical and Computer Modelling: An International Journal
Determining functional relationships from trained neural networks
Mathematical and Computer Modelling: An International Journal
Recurrent networks for structured data - A unifying approach and its properties
Cognitive Systems Research
Cross-validation of bimodal health-related stress assessment
Personal and Ubiquitous Computing
A Computational Learning Theory of Active Object Recognition Under Uncertainty
International Journal of Computer Vision
Exploiting label dependencies for improved sample complexity
Machine Learning
Oscillation-based analog diagnosis using artificial neural networks based inference mechanism
Computers and Electrical Engineering
Ensemble multi-label learning based on neural network
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Committee C-mantec: a probabilistic constructive neural network
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Chinese text classification based on neural network
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
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