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A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
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Outgoing claims: the papers this work cites, builds on, or argues with.
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The Elements of Statistical Learning
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Weak Convergence and Empirical Processes
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Exploiting Task Relatedness for Multiple Task Learning
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On the method of bounded differences
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Text Classification from Labeled and Unlabeled Documents using EM
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Semi-Supervised Learning on Riemannian Manifolds
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Predicting Multivariate Responses in Multiple Linear Regression
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Named entity recognition with a maximum entropy approach
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Named entity recognition with character-level models
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A high-performance semi-supervised learning method for text chunking
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Unsupervised word sense disambiguation rivaling supervised methods
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A novel multi-task linear mixed model for smartphone-based telemonitoring
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Why pay more? A simple and efficient named entity recognition system for tweets
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Multi-target HSIC-Lasso via exploiting target correlations
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Segmentation, fusion, and representation: A novel approach to multi-label classification for long texts
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Distributed optimization for multi-task learning via nuclear-norm approximation∗∗The authors are with the Department of Mechanical and Aerospace Engineering, University of California, San Diego, USA.
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Sparse feature selection based on graph Laplacian for web image annotation
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Semi-supervised multi-label feature selection via label correlation analysis with l 1 -norm graph embedding
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Conversational transfer learning for emotion recognition
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Transfer affinity propagation-based clustering
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Regularization-based model tree for multi-output regression
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A novel multi-task twin-hypersphere support vector machine for classification
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Calibrated multi-task subspace learning via binary group structure constraint
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Robust semi-supervised multi-label feature selection based on shared subspace and manifold learning
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Knowledge triple mining via multi-task learning
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Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease
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A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data
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Transductive versions of the LASSO and the Dantzig Selector
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Image distance metric learning based on neighborhood sets for automatic image annotation
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Multimedia annotation via semi-supervised shared-subspace feature selection
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Internet cross-media retrieval based on deep learning
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Collaborative learning based on centroid-distance-vector for wearable devices
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GRL: Knowledge graph completion with GAN-based reinforcement learning
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Semi-supervised multi-label feature selection with adaptive structure learning and manifold learning
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Joint monitoring of multiple quality-related indicators in nonlinear processes based on multi-task learning
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Multilinear multitask learning by transformed tensor singular value decomposition
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Multitask Bregman clustering
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Using clustering analysis to improve semi-supervised classification
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Learning output kernels for multi-task problems
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Sparse-based neural response for image classification
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Multitask centroid twin support vector machines
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Sparse feature selection based on L2,1/2-matrix norm for web image annotation
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Network traffic classification via non-convex multi-task feature learning
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Multi-label learning with discriminative features for each label
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Cross-domain sentiment classification via topical correspondence transfer
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Learning shared subspace for multi-label dimensionality reduction via dependence maximization
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A multi-task model for simultaneous face identification and facial expression recognition
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Multiple task learning with flexible structure regularization
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Flexible multi-task learning with latent task grouping
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Mixed bi-subject kinship verification via multi-view multi-task learning
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Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction
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Multi-task ranking SVM for image cosegmentation
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Coevolutionary multi-task learning for feature-based modular pattern classification
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Bayesian calibration for multiple source regression model
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Affective question answering on video
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