Accelerated learning in layered neural networks
Complex Systems
Learning and relearning in Boltzmann machines
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Neural Computation
A practical Bayesian framework for backpropagation networks
Neural Computation
Exact calculation of the Hessian matrix for the multilayer perceptron
Neural Computation
Information-based objective functions for active data selection
Neural Computation
Using Hard Classifiers to Estimate Conditional Class Probabilities
ECML '02 Proceedings of the 13th European Conference on Machine Learning
2005 Special Issue: Constructing Bayesian formulations of sparse kernel learning methods
Neural Networks - 2005 Special issue: IJCNN 2005
An integrated framework for risk profiling of breast cancer patients following surgery
Artificial Intelligence in Medicine
Adaptive voting rules for k-nearest neighbors classifiers
Neural Computation
Adaptive spherical Gaussian kernel in sparse Bayesian learning framework for nonlinear regression
Expert Systems with Applications: An International Journal
Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine
Expert Systems with Applications: An International Journal
Personalized recommendation on dynamic content using predictive bilinear models
Proceedings of the 18th international conference on World wide web
EvoBIO '09 Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Online Feature Selection Algorithm with Bayesian l 1 Regularization
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Combining feature spaces for classification
Pattern Recognition
Validation-based sparse gaussian process classifier design
Neural Computation
International Journal of Computer Applications in Technology
On similarities between inference in game theory and machine learning
Journal of Artificial Intelligence Research
Representations for action selection learning from real-time observation of task experts
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Determination of mode of ventilation using OSRE
Computers in Biology and Medicine
A new method for sleep apnea classification using wavelets and feedforward neural networks
Artificial Intelligence in Medicine
Probabilistic classification vector machines
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Proceedings of the 2009 conference on Computational Intelligence and Bioengineering: Essays in Memory of Antonina Starita
Computers and Operations Research
Patient stratification with competing risks by multivariate fisher distance
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Auto claim fraud detection using Bayesian learning neural networks
Expert Systems with Applications: An International Journal
Automatic model selection for the optimization of SVM kernels
Pattern Recognition
Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes
IEEE Transactions on Signal Processing
Active learning and basis selection for kernel-based linear models: a Bayesian perspective
IEEE Transactions on Signal Processing
Feature selection for support vector regression using probabilistic prediction
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Mining data with random forests: A survey and results of new tests
Pattern Recognition
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Sparse Bayesian learning for the Laplace transform inversion in dynamic light scattering
Journal of Computational and Applied Mathematics
Expert Systems with Applications: An International Journal
Variable selection and prediction of rainfall from WSR-88D radar using support vector regression
NN'05 Proceedings of the 6th WSEAS international conference on Neural networks
Bayesian hierarchical ordinal regression
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Multiclass Kernel-Imbedded Gaussian Processes for Microarray Data Analysis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Variational relevance vector machines
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Multistage neural network metalearning with application to foreign exchange rates forecasting
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Expert Systems with Applications: An International Journal
Bayesian kernel learning methods for parametric accelerated life survival analysis
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
A mixture of experts for classifying sleep apneas
Expert Systems with Applications: An International Journal
Load forecasting using fixed-size least squares support vector machines
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Identification of nonlinear oscillator models for speech analysis and synthesis
Nonlinear Speech Modeling and Applications
Describing customer loyalty to spanish petrol stations through rule extraction
IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning
Preoperative prediction of malignancy of ovarian tumors using least squares support vector machines
Artificial Intelligence in Medicine
Dynamic control model of BOF steelmaking process based on ANFIS and robust relevance vector machine
Expert Systems with Applications: An International Journal
Credit risk assessment and decision making by a fusion approach
Knowledge-Based Systems
LogUCB: an explore-exploit algorithm for comments recommendation
Proceedings of the 21st ACM international conference on Information and knowledge management
One-class collaborative filtering with random graphs
Proceedings of the 22nd international conference on World Wide Web
Xbox movies recommendations: variational bayes matrix factorization with embedded feature selection
Proceedings of the 7th ACM conference on Recommender systems
Rapid image splicing detection based on relevance vector machine
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
Probabilistic risk assessment of tunneling-induced damage to existing properties
Expert Systems with Applications: An International Journal
Hi-index | 0.02 |
Three Bayesian ideas are presented for supervised adaptive classifiers. First, it is argued that the output of a classifier should be obtained by marginalizing over the posterior distribution of the parameters; a simple approximation to this integral is proposed and demonstrated. This involves a "moderation" of the most probable classifier's outputs, and yields improved performance. Second, it is demonstrated that the Bayesian framework for model comparison described for regression models in MacKay (1992a,b) can also be applied to classification problems. This framework successfully chooses the magnitude of weight decay terms, and ranks solutions found using different numbers of hidden units. Third, an information-based data selection criterion is derived and demonstrated within this framework.