Stochastic learning of strategic equilibria for auctions
Neural Computation
A Batch Learning Vector Quantization Algorithm for Nearest Neighbour Classification
Neural Processing Letters
Finite-Sample Convergence Properties of the LVQ1 Algorithm and the Batch LVQ1 Algorithm
Neural Processing Letters
Learning with Nearest Neighbour Classifiers
Neural Processing Letters
Sparse on-line Gaussian processes
Neural Computation
Gradient-Based Optimization of Hyperparameters
Neural Computation
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New Generation Computing
EURASIP Journal on Applied Signal Processing
Bayesian Inference and Optimal Design for the Sparse Linear Model
The Journal of Machine Learning Research
Relational learning via collective matrix factorization
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Adaptive improved natural gradient algorithm for blind source separation
Neural Computation
Identifying suspicious URLs: an application of large-scale online learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Online dictionary learning for sparse coding
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Latent variable perceptron algorithm for structured classification
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Regularized margin-based conditional log-likelihood loss for prototype learning
Pattern Recognition
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent
The Journal of Machine Learning Research
Online Learning for Matrix Factorization and Sparse Coding
The Journal of Machine Learning Research
An online core vector machine with adaptive MEB adjustment
Pattern Recognition
IEEE Transactions on Neural Networks
Geodesic shape retrieval via optimal mass transport
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach
The Journal of Machine Learning Research
Learning to detect malicious URLs
ACM Transactions on Intelligent Systems and Technology (TIST)
Large scale real-life action recognition using conditional random fields with stochastic training
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Natural Language Processing (Almost) from Scratch
The Journal of Machine Learning Research
Decentralized prediction of end-to-end network performance classes
Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
A mixture model-based on-line CEM algorithm
IDA'05 Proceedings of the 6th international conference on Advances in Intelligent Data Analysis
An online AUC formulation for binary classification
Pattern Recognition
Convergence of Distributed Asynchronous Learning Vector Quantization Algorithms
The Journal of Machine Learning Research
Optimization with Sparsity-Inducing Penalties
Foundations and Trends® in Machine Learning
Real-time top-n recommendation in social streams
Proceedings of the sixth ACM conference on Recommender systems
Fast multi-task learning for query spelling correction
Proceedings of the 21st ACM international conference on Information and knowledge management
A family of feed-forward models for protein sequence classification
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Batch-incremental versus instance-incremental learning in dynamic and evolving data
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
FISM: factored item similarity models for top-N recommender systems
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 22nd international conference on World Wide Web
PIXS: programmable intelligence for cross-platform socialization
Proceedings of the 5th ACM workshop on HotPlanet
Stochastic variational inference
The Journal of Machine Learning Research
Fast topic discovery from web search streams
Proceedings of the 23rd international conference on World wide web
DMFSGD: a decentralized matrix factorization algorithm for network distance prediction
IEEE/ACM Transactions on Networking (TON)
Fast inference in generalized linear models via expected log-likelihoods
Journal of Computational Neuroscience
The dropout learning algorithm
Artificial Intelligence
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