TAG: classification_and_prediction

PageDateDiscussion
A Distance Model for Rhythms (2008)   0 Comments
A Least Squares Formulation for Canonical Correlation Analysis (2008)   2 Comments
A Quasi-Newton Approach to Nonsmooth Convex Optimization (2008)   0 Comments
A Reproducing Kernel Hilbert Space Framework for Pairwise Time Series Distances (2008)   0 Comments
An Empirical Evaluation of Supervised Learning in High Dimensions (2008)   0 Comments
An RKHS for Multi-View Learning and Manifold Co-Regularization (2008)   0 Comments
Bayes Optimal Classification for Decision Trees (2008)   0 Comments
Bayesian multiple instance learning: automatic feature selection and inductive transfer (2008)   0 Comments
Classification using Discriminative Restricted Boltzmann Machines (2008)   0 Comments
Closed-form Supervised Dimensionality Reduction with Generalized Linear Models (2008)   0 Comments
Composite Kernel Learning (2008)   0 Comments
Confidence-Weighted Linear Classification (2008)   0 Comments
Cost-Sensitive Multi-class Classification From Probability Estimates (2008)   0 Comments
Discriminative Parameter Learning for Bayesian Networks (2008)   0 Comments
Efficient Bandit Algorithms for Online Multiclass Prediction (2008)   1 Comment
Estimating Labels from Label Proportions (2008)   1 Comment
Fast Incremental Proximity Search in Large Graphs (2008)   0 Comments
Fast Solvers and Efficient Implementations for Distance Metric Learning (2008)   0 Comments
Fast Support Vector Machine Training and Classification on Graphics Processors (2008)   0 Comments
Graph Transduction via Alternating Minimization (2008)   0 Comments
Grassmann Discriminant Analysis: a Unifying View on Subspace-Based Learning (2008)   0 Comments
Laplace Maximum Margin Markov Networks (2008)   0 Comments
Large Scale Manifold Transduction (2008)   0 Comments
Learning from Incomplete Data with Infinite Imputations (2008)   0 Comments
Learning to Classify with Missing and Corrupted Features (2008)   0 Comments
Maximum likelihood rule ensembles (2008)   0 Comments
Metric Embedding for Kernel Classification Rules (2008)   0 Comments
Multi-Classification by Categorical Features via Clustering (2008)   0 Comments
Nearest Hyperdisk Methods for High-Dimensional Classification (2008)   0 Comments
Nu-Support Vector Machine as Conditional Value-at-Risk Minimization (2008)   0 Comments
Optimized Cutting Plane Algorithm for Support Vector Machines (2008)   0 Comments
Pairwise Constraint Propagation by Semidefinite Programming for Semi-Supervised Classification (2008)   0 Comments
Pointwise exact bootstrap distributions of cost curves (2008)   0 Comments
Polyhedral Classifier for Target Detection A Case Study: Colorectal Cancer (2008)   0 Comments
SVM Optimization: Inverse Dependence on Training Set Size (2008)   3 Comments
Sequence Kernels for Predicting Protein Essentiality (2008)   0 Comments
Stopping Conditions for Exact Computation of Leave-One-Out Error in Support Vector Machines (2008)   0 Comments
Structure Compilation: Trading Structure for Features (2008)   0 Comments
The GroupLASSO for Generalized Linear Models: uniqueness of solutions and efficient algorithms (2008)   1 Comment
The Projectron: a Bounded Kernel-Based Perceptron (2008)   0 Comments
Training SVM with Indefinite Kernels (2008)   0 Comments
 
 
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