Everything old is new again: a fresh look at historical approaches in machine learning

Face recognition: component-based versus global approaches

Computer Vision and Image Understanding - Special issue on Face recognition

Finding Latent Code Errors via Machine Learning over Program Executions

Proceedings of the 26th International Conference on Software Engineering

In Defense of One-Vs-All Classification

The Journal of Machine Learning Research

Using term informativeness for named entity detection

Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

Learning word meanings and descriptive parameter spaces from music

HLT-NAACL-LWM '04 Proceedings of the HLT-NAACL 2003 workshop on Learning word meaning from non-linguistic data - Volume 6

Graph kernels and Gaussian processes for relational reinforcement learning

Machine Learning

Terminated Ramp-Support Vector Machines: A nonparametric data dependent kernel

Neural Networks

Generalized Robust Conjoint Estimation

Marketing Science

Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

The Journal of Machine Learning Research

Value Regularization and Fenchel Duality

The Journal of Machine Learning Research

Large-scale RLSC learning without agony

Proceedings of the 24th international conference on Machine learning

Feature selection methods for text classification

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining

Optimally regularised kernel Fisher discriminant classification

Neural Networks

Classification of soft tissue tumors in MRI images using kernel PCA and regularized least square classifier

SPPR'07 Proceedings of the Fourth conference on IASTED International Conference: Signal Processing, Pattern Recognition, and Applications

Better multiclass classification via a margin-optimized single binary problem

Pattern Recognition Letters

Discriminatively regularized least-squares classification

Pattern Recognition

Orthogonal Shrinkage Methods for Nonparametric Regression under Gaussian Noise

Neural Information Processing

Matrix representations, linear transformations, and kernels for disambiguation in natural language

Machine Learning

Class dependent feature scaling method using naive Bayes classifier for text datamining

Pattern Recognition Letters

An efficient algorithm for learning to rank from preference graphs

Machine Learning

Fast evolutionary maximum margin clustering

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Efficient AUC Maximization with Regularized Least-Squares

Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008

Locality kernels for sequential data and their applications to parse ranking

Applied Intelligence

Generalizing the bias term of support vector machines

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Recursive ECOC classification

Pattern Recognition Letters

Player Modeling for Intelligent Difficulty Adjustment

DS '09 Proceedings of the 12th International Conference on Discovery Science

Classification of soft tissue tumors in MRI images using kernel PCA and regularized least square classifier

SPPRA '07 Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications

Local minimax learning of functions with best finite sample estimation error bounds: applications to ridge and lasso regression, boosting, tree learning, kernel machines, and inverse problems

IEEE Transactions on Information Theory

The evidence framework applied to sparse kernel logistic regression

Neurocomputing

Deriving the kernel from training data

MCS'07 Proceedings of the 7th international conference on Multiple classifier systems

Classification by semi-supervised discriminative regularization

Neurocomputing

Efficient hold-out for subset of regressors

ICANNGA'09 Proceedings of the 9th international conference on Adaptive and natural computing algorithms

An experimental comparison of cross-validation techniques for estimating the area under the ROC curve

Computational Statistics & Data Analysis

The regularized least squares algorithm and the problem of learning halfspaces

Information Processing Letters

Kernel-based reranking for named-entity extraction

COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters

A DIAMOND method of inducing classification rules for biological data

Computers in Biology and Medicine

Relevance ranking of intensive care nursing narratives

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I

Ensemble learning with supervised kernels

ECML'05 Proceedings of the 16th European conference on Machine Learning

Model selection for regularized least-squares classification

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I

Regularized classifiers for information retrieval

AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence

A DIAMOND method for classifying biological data

ICMB'10 Proceedings of the Second international conference on Medical Biometrics

On low-rank regularized least squares for scalable nonlinear classification

ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II

Non-sparse multiple kernel fisher discriminant analysis

The Journal of Machine Learning Research

Multiclass classification machines with the complexity of a single binary classifier

Signal Processing

Local scaling heuristic-based regularization for pattern classification

Neurocomputing

A note on hyper ellipse method for classifying biological and medical data

Computers in Biology and Medicine

Discriminality-driven regularization framework for indefinite kernel machine

Neurocomputing