| Feature vector regularization in machine learning | Dec 19, 2012 | BIG-bench Machine LearningCancer Classification | —Unverified | 0 |
| Macro-Economic Time Series Modeling and Interaction Networks | Dec 10, 2012 | regressionSymbolic Regression | —Unverified | 0 |
| Lossy Compression via Sparse Linear Regression: Computationally Efficient Encoding and Decoding | Dec 7, 2012 | regression | —Unverified | 0 |
| Pointwise Tracking the Optimal Regression Function | Dec 1, 2012 | regression | —Unverified | 0 |
| Projection Retrieval for Classification | Dec 1, 2012 | ClassificationGeneral Classification | —Unverified | 0 |
| Multiple Operator-valued Kernel Learning | Dec 1, 2012 | regression | —Unverified | 0 |
| Extractive Multi-Document Summarization with Integer Linear Programming and Support Vector Regression | Dec 1, 2012 | Document SummarizationMulti-Document Summarization | —Unverified | 0 |
| Context-Sensitive Decision Forests for Object Detection | Dec 1, 2012 | General ClassificationObject | —Unverified | 0 |
| High-Order Multi-Task Feature Learning to Identify Longitudinal Phenotypic Markers for Alzheimer's Disease Progression Prediction | Dec 1, 2012 | Multi-Task Learningregression | —Unverified | 0 |
| Multiplicative Forests for Continuous-Time Processes | Dec 1, 2012 | regression | —Unverified | 0 |
| Gradient Weights help Nonparametric Regressors | Dec 1, 2012 | regression | —Unverified | 0 |
| Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression | Dec 1, 2012 | parameter estimationregression | —Unverified | 0 |
| Learning curves for multi-task Gaussian process regression | Dec 1, 2012 | Multi-Task Learningregression | —Unverified | 0 |
| Fully Bayesian inference for neural models with negative-binomial spiking | Dec 1, 2012 | Bayesian InferenceData Augmentation | —Unverified | 0 |
| Max-Margin Structured Output Regression for Spatio-Temporal Action Localization | Dec 1, 2012 | Action LocalizationObject Localization | —Unverified | 0 |
| Nonparametric Reduced Rank Regression | Dec 1, 2012 | Formregression | —Unverified | 0 |
| A Polynomial-time Form of Robust Regression | Dec 1, 2012 | Formregression | —Unverified | 0 |
| Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression | Dec 1, 2012 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| A Marginalized Particle Gaussian Process Regression | Dec 1, 2012 | Computational Efficiencyregression | —Unverified | 0 |
| Understanding the Performance of Statistical MT Systems: A Linear Regression Framework | Dec 1, 2012 | Machine Translationregression | —Unverified | 0 |
| Selecting Diverse Features via Spectral Regularization | Dec 1, 2012 | Diversityfeature selection | —Unverified | 0 |
| Supervised Learning with Similarity Functions | Dec 1, 2012 | General Classificationregression | —Unverified | 0 |
| Semi-Supervised Domain Adaptation with Non-Parametric Copulas | Dec 1, 2012 | Domain Adaptationregression | —Unverified | 0 |
| A Geometric take on Metric Learning | Dec 1, 2012 | Dimensionality ReductionMetric Learning | —Unverified | 0 |
| Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs | Nov 28, 2012 | General ClassificationMulti-Label Classification | —Unverified | 0 |