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Regularized multi--task learning

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4615-5529-2openalex-snapshot

Learning to Learn

inferredcites →https://doi.org/10.1007/978-1-4615-5529-2_10openalex-snapshot

Clustering Learning Tasks and the Selective Cross-Task Transfer of Knowledge

inferredcites →https://doi.org/10.1007/978-1-4615-5529-2_9openalex-snapshot

The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness

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The Nature of Statistical Learning Theory

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Exploiting Task Relatedness for Multiple Task Learning

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Marketing models of consumer heterogeneity

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A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling

inferredcites →https://doi.org/10.1023/a:1007379606734openalex-snapshot

Multitask Learning

inferredcites →https://doi.org/10.1023/a:1018946025316openalex-snapshot

Regularization Networks and Support Vector Machines

inferredcites →https://doi.org/10.1080/095400996116929openalex-snapshot

The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness

inferredcites →https://doi.org/10.1086/322902openalex-snapshot

Improving Parameter Estimates and Model Prediction by Aggregate Customization in Choice Experiments

inferredcites →https://doi.org/10.1111/1467-9868.00054openalex-snapshot

Predicting Multivariate Responses in Multiple Linear Regression

inferredcites →https://doi.org/10.1137/1.9781611970128openalex-snapshot

Spline Models for Observational Data

inferredcites →https://doi.org/10.1137/1.9781611971255openalex-snapshot

Nonlinear Programming

inferredcites →https://doi.org/10.1145/775047.775111openalex-snapshot

A theoretical framework for learning from a pool of disparate data sources

inferredcites →https://doi.org/10.1162/0899766052530802openalex-snapshot

On Learning Vector-Valued Functions

inferredcites →https://doi.org/10.1162/153244304322765658openalex-snapshot

10.1162/153244304322765658

inferredcites →https://doi.org/10.1162/neco.1994.6.2.181openalex-snapshot

Hierarchical Mixtures of Experts and the EM Algorithm

inferredcites →https://doi.org/10.1214/aos/1176344891openalex-snapshot

Adaptive Multivariate Ridge Regression

inferredcites →https://doi.org/10.1287/420a0422-8060-4775-b8d7-a8f01fa36ffeopenalex-snapshot

MIT Sloan School of Management

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Fast Polyhedral Adaptive Conjoint Estimation

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Statistical Learning Theory

inferredcites →https://doi.org/10.5555/1622248.1622254openalex-snapshot

A model of inductive bias learning

inferredcites →https://doi.org/10.5555/645529.658133openalex-snapshot

Empirical Bayes for Learning to Learn

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Transfer of Knowledge Across Tasks

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Source Hypothesis Transfer for Zero-Shot Domain Adaptation

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Geometry Preserving Multi-task Metric Learning

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Learning Multiple Tasks with Boosted Decision Trees

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Multi-Task Boosting by Exploiting Task Relationships

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Manifold Regularized Multi-Task Learning

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One-Class Transfer Learning with Uncertain Data

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Time Series Forecasting Using Distribution Enhanced Linear Regression

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Transfer Learning with Part-Based Ensembles

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Domain Adaptation for Sequential Detection

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Shared Structure Learning for Multiple Tasks with Multiple Views

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Multi-task Learning for Computational Biology: Overview and Outlook

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Domain Adaptation for Pathologic Oscillations

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PerGrab: Adapting Grabbing Gesture Recognition for Personalized Non-contact HCI

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Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density

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Spá: A Web-Based Viewer for Text Mining in Evidence Based Medicine

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Conic Multi-task Classification

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Innovative Serviceprodukte für individualisierte, verfügbarkeitsorientierte Geschäftsmodelle

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Kernel Online Multi-task Learning

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Metric Learning with Biometric Applications

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A Multi-task Learning Approach by Combining Derivative-Free and Gradient Methods

inferred← citeshttps://doi.org/10.1007/978-981-10-4322-2_7openalex-snapshot

Learning Classification and Regression Models Based on Transfer Samples

inferred← citeshttps://doi.org/10.1007/978-981-10-6385-5_41openalex-snapshot

Predicting Big-Five Personality for Micro-blog Based on Robust Multi-task Learning

inferred← citeshttps://doi.org/10.1007/978-981-15-7670-6_14openalex-snapshot

Sparse Multi-task Least-Squares Support Vector Machine

inferred← citeshttps://doi.org/10.1007/978-981-15-8884-6_1openalex-snapshot

Introduction

inferred← citeshttps://doi.org/10.1007/978-981-15-8884-6_11openalex-snapshot

Connections to Other Learning Paradigms

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Data Stream Analysis

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Physical and Data-Driven Models Hybridisation for Modelling the Dynamic State of a Four-Stroke Marine Diesel Engine

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Meta-Learning

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Robust Multi-task Least Squares Twin Support Vector Machines for Classification

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Dynamic Cutterhead Torque Prediction of Tunnel Boring Machines Based on a Hybrid Transfer Learning Framework

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Platform-Based Supply Chain Prediction Models Driven by Multi-source Heterogeneous Data

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Learning 2D Human Poses for Better 3D Lifting via Multi-model 3D-Guidance

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Comprehensive Exploration of Generative Pre-trained Transformer

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Integration of Classification, Regression, and Ranking Tasks into a Novel Multi-task SVM for Stock Market Prediction

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Speed Prediction of Multiple Traffic Scenarios with Local Fluctuation

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Fault Diagnosis and Prognosis Based on Deep Learning and Transfer Learning

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Two-stream person re-identification with multi-task deep neural networks

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Multi-task Support Vector Machine Classifier with Generalized Huber Loss

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Unregularized Online Algorithms with Varying Gaussians

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Two-attribute e-commerce image classification based on a convolutional neural network

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A multi-task framework for metric learning with common subspace

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Leave-one-out cross-validation-based model selection for multi-input multi-output support vector machine

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Hypothesis transfer learning based on structural model similarity

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Multi-task $$\nu$$-twin support vector machines

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Pinball loss-based multi-task twin support vector machine and its safe acceleration method

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Multitask transfer learning with kernel representation

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Video recommendation over multiple information sources

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PTL-CFS based deep convolutional neural network model for remote sensing classification

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Approximation accuracy, gradient methods, and error bound for structured convex optimization

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The optimal solution of multi-kernel regularization learning

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Query-dependent cross-domain ranking in heterogeneous network

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Structured feature selection and task relationship inference for multi-task learning

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Multiple task transfer learning with small sample sizes

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A new transfer learning framework with application to model-agnostic multi-task learning

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Joint prediction of time series data in inventory management

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Collaborative online ranking algorithms for multitask learning

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Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning

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Finite rank kernels for multi-task learning

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Learning from crowdsourced labeled data: a survey

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Problem formulations and solvers in linear SVM: a review

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Multi-source deep transfer learning algorithm based on feature alignment

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Kernel collaborative online algorithms for multi-task learning

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An improved multi-task least squares twin support vector machine

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An MIMLSVM algorithm based on ECC

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The aLS-SVM based multi-task learning classifiers

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Deep learning and control algorithms of direct perception for autonomous driving

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A new multi-task learning method with universum data

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Collaborative attention neural network for multi-domain sentiment classification

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A transfer-learning approach for corrosion prediction in pipeline infrastructures

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Multi-task twin spheres support vector machine with maximum margin for imbalanced data classification

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Modeling different effects of user and product attributes on review sentiment classification

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Learning Shared Economic Representations through the Application of Multi-Task Gradient Boosting

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Fast projections onto mixed-norm balls with applications

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Constrained elastic net based knowledge transfer for healthcare information exchange

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Exact and efficient top-K inference for multi-target prediction by querying separable linear relational models

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Multi-target prediction: a unifying view on problems and methods

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Deep Learning for Extracting Dispersion Curves

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Iterative classification for multiple target attributes

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Multi-source transfer learning of time series in cyclical manufacturing

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Data-driven product configuration improvement and product line restructuring with text mining and multitask learning

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Transfer bounds for linear feature learning

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