Statistical analysis with missing data
Statistical analysis with missing data
Learning from hints in neural networks
Journal of Complexity
A comparative study of ID3 and backpropagation for English text-to-speech mapping
Proceedings of the seventh international conference (1990) on Machine learning
Symbolic-neural systems and the use of hints for developing complex systems
International Journal of Man-Machine Studies
C4.5: programs for machine learning
C4.5: programs for machine learning
Neural Computation
Experience with a learning personal assistant
Communications of the ACM
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Acquiring and Combining Overlapping Concepts
Machine Learning - Special issue on computational models of human learning
Neural Computation
Learning internal representations
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
A Bayesian/information theoretic model of bias learning
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Mixture models for learning from incomplete data
Computational learning theory and natural learning systems: Volume IV
Explanation-Based Neural Network Learning: A Lifelong Learning Approach
Explanation-Based Neural Network Learning: A Lifelong Learning Approach
Neural Network Perception for Mobile Robot Guidance
Neural Network Perception for Mobile Robot Guidance
Machine Learning
Rule-Injection Hints as a Means of Improving Network Performance and Learning Time
Proceedings of the EURASIP Workshop 1990 on Neural Networks
Sensor fusion for autonomous outdoor navigation using neural networks
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 3 - Volume 3
Multitask learning
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Using the representation in a neural network's hidden layer for task-specific focus of attention
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A perspective view and survey of meta-learning
Artificial Intelligence Review
Approximate algorithms for neural-Bayesian approaches
Theoretical Computer Science - Natural computing
Neural Computation
Machines that learn to play games
The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Bloomy Decision Tree for Multi-objective Classification
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
Model Clustering for Neural Network Ensembles
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Learning Intermediate Concepts
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
The Task Rehearsal Method of Life-Long Learning: Overcoming Impoverished Data
AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence
Learning from examples with unspecified attribute values
Information and Computation
A theoretical framework for learning from a pool of disparate data sources
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Eighteenth national conference on Artificial intelligence
Clustering ensembles of neural network models
Neural Networks
Benefitting from the variables that variable selection discards
The Journal of Machine Learning Research
Task clustering and gating for bayesian multitask learning
The Journal of Machine Learning Research
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Cross-training: learning probabilistic mappings between topics
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Introduction to the Special Issue on Meta-Learning
Machine Learning
Regularized multi--task learning
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Effective localized regression for damage detection in large complex mechanical structures
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to learn with the informative vector machine
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Multi-task feature and kernel selection for SVMs
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Learning Gaussian processes from multiple tasks
ICML '05 Proceedings of the 22nd international conference on Machine learning
Sharing Classifiers among Ensembles from Related Problem Domains
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Multidimensional transformation-based learning
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Predicting dire outcomes of patients with community acquired pneumonia
Journal of Biomedical Informatics - Special issue: Clinical machine learning
Predictive search distributions
ICML '06 Proceedings of the 23rd international conference on Machine learning
Estimating relatedness via data compression
ICML '06 Proceedings of the 23rd international conference on Machine learning
The support vector decomposition machine
ICML '06 Proceedings of the 23rd international conference on Machine learning
Constructing informative priors using transfer learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
Multi-task text segmentation and alignment based on weighted mutual information
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
The Journal of Machine Learning Research
Factorizing complex models: a case study in mention detection
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Composition of conditional random fields for transfer learning
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Multi-class pattern classification using neural networks
Pattern Recognition
Ensemble Pruning Via Semi-definite Programming
The Journal of Machine Learning Research
Multi-Task Learning for Classification with Dirichlet Process Priors
The Journal of Machine Learning Research
Synergistic Face Detection and Pose Estimation with Energy-Based Models
The Journal of Machine Learning Research
Sharing Visual Features for Multiclass and Multiview Object Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boosting for transfer learning
Proceedings of the 24th international conference on Machine learning
Bayesian compressive sensing and projection optimization
Proceedings of the 24th international conference on Machine learning
Learning a meta-level prior for feature relevance from multiple related tasks
Proceedings of the 24th international conference on Machine learning
Multi-task learning for sequential data via iHMMs and the nested Dirichlet process
Proceedings of the 24th international conference on Machine learning
Self-taught learning: transfer learning from unlabeled data
Proceedings of the 24th international conference on Machine learning
The matrix stick-breaking process for flexible multi-task learning
Proceedings of the 24th international conference on Machine learning
Robust multi-task learning with t-processes
Proceedings of the 24th international conference on Machine learning
Genetic programming for cross-task knowledge sharing
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Knowledge reuse in genetic programming applied to visual learning
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Multi-method learning and assimilation
Robotics and Autonomous Systems
Co-clustering based classification for out-of-domain documents
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Semi-supervised classification with hybrid generative/discriminative methods
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Model-shared subspace boosting for multi-label classification
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Tagging over time: real-world image annotation by lightweight meta-learning
Proceedings of the 15th international conference on Multimedia
Extending boosting for large scale spoken language understanding
Machine Learning
Extending boosting for large scale spoken language understanding
Machine Learning
Mindful: A framework for Meta-INDuctive neuro-FUzzy Learning
Information Sciences: an International Journal
Multi-task code reuse in genetic programming
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
A unified architecture for natural language processing: deep neural networks with multitask learning
Proceedings of the 25th international conference on Machine learning
Proceedings of the 25th international conference on Machine learning
Learning to learn implicit queries from gaze patterns
Proceedings of the 25th international conference on Machine learning
Bayesian multiple instance learning: automatic feature selection and inductive transfer
Proceedings of the 25th international conference on Machine learning
Deep learning via semi-supervised embedding
Proceedings of the 25th international conference on Machine learning
Structured entity identification and document categorization: two tasks with one joint model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Knowledge transfer via multiple model local structure mapping
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Spectral domain-transfer learning
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Searching for Complex Human Activities with No Visual Examples
International Journal of Computer Vision
A Hierarchical Approach for Multi-task Logistic Regression
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
A Single Layer Perceptron Approach to Selective Multi-task Learning
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Requirements for Machine Lifelong Learning
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Multitask Learning with Data Editing
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
Learning Initial Trust Among Interacting Agents
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Learning from Relevant Tasks Only
ECML '07 Proceedings of the 18th European conference on Machine Learning
Ensembles of Multi-Objective Decision Trees
ECML '07 Proceedings of the 18th European conference on Machine Learning
Classification in Very High Dimensional Problems with Handfuls of Examples
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Bridged Refinement for Transfer Learning
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
On Universal Transfer Learning
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Iterative Reinforcement Cross-Domain Text Classification
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Learning Structurally Analogous Tasks
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
An Algorithm for Transfer Learning in a Heterogeneous Environment
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
An Improved Multi-task Learning Approach with Applications in Medical Diagnosis
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Kernel-Based Inductive Transfer
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Classification of Multi-labeled Data: A Generative Approach
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Transferring Instances for Model-Based Reinforcement Learning
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Transferred Dimensionality Reduction
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Transfer Learning for Bayesian Networks
IBERAMIA '08 Proceedings of the 11th Ibero-American conference on AI: Advances in Artificial Intelligence
DECA: THE DOPING-DRIVEN EVOLUTIONARY CONTROL ALGORITHM
Applied Artificial Intelligence
Inductive transfer with context-sensitive neural networks
Machine Learning
Convex multi-task feature learning
Machine Learning
Flexible latent variable models for multi-task learning
Machine Learning
Intra-document structural frequency features for semi-supervised domain adaptation
Proceedings of the 17th ACM conference on Information and knowledge management
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
DS '08 Proceedings of the 11th International Conference on Discovery Science
Multitask visual learning using genetic programming
Evolutionary Computation
Cross-Domain Knowledge Transfer Using Semi-supervised Classification
AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Synthesizing neural networks for learning in games
Future Play '08 Proceedings of the 2008 Conference on Future Play: Research, Play, Share
Multi-domain spoken language understanding with transfer learning
Speech Communication
On universal transfer learning
Theoretical Computer Science
Transfer bounds for linear feature learning
Machine Learning
Traffic flow forecasting based on multitask ensemble learning
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
A convex formulation for learning shared structures from multiple tasks
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
EigenTransfer: a unified framework for transfer learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Transfer learning for collaborative filtering via a rating-matrix generative model
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
MTForest: Ensemble Decision Trees based on Multi-Task Learning
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Boosting expert ensembles for rapid concept recall
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Cross-domain knowledge transfer using structured representations
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Online methods for multi-domain learning and adaptation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
An Information-Theoretic Approach for Multi-task Learning
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Relaxed Transfer of Different Classes via Spectral Partition
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Semi-Supervised Multi-Task Regression
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC)
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
A mathematical programming formulation for sparse collaborative computer aided diagnosis
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Transferring naive bayes classifiers for text classification
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Mapping and revising Markov logic networks for transfer learning
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Zero-data learning of new tasks
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Transfer learning via dimensionality reduction
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Transferring localization models across space
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Transferring multi-device localization models using latent multi-task learning
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Cross-domain activity recognition
Proceedings of the 11th international conference on Ubiquitous computing
Hierarchical Bayesian domain adaptation
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Coupling semi-supervised learning of categories and relations
SemiSupLearn '09 Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing
A model of inductive bias learning
Journal of Artificial Intelligence Research
Domain adaptation for statistical classifiers
Journal of Artificial Intelligence Research
Efficient Bayesian task-level transfer learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Proceedings of the 18th ACM conference on Information and knowledge management
Multi-task learning for learning to rank in web search
Proceedings of the 18th ACM conference on Information and knowledge management
IEEE Transactions on Signal Processing
Boosted online learning for face recognition
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A multitask learning model for online pattern recognition
IEEE Transactions on Neural Networks
Activity recognition: linking low-level sensors to high-level intelligence
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Knowledge transfer on hybrid graph
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Transfer learning using task-level features with application to information retrieval
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Multiple information sources cooperative learning
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Hierarchical multi-class text categorization with global margin maximization
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Heterogeneous transfer learning for image clustering via the social web
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Multi-task transfer learning for weakly-supervised relation extraction
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
Transfer Learning beyond Text Classification
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Transfer Discriminative Logmaps
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Model adaptation via model interpolation and boosting for web search ranking
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Coupled semi-supervised learning for information extraction
Proceedings of the third ACM international conference on Web search and data mining
Ranking with query-dependent loss for web search
Proceedings of the third ACM international conference on Web search and data mining
Transfer Learning for Reinforcement Learning Domains: A Survey
The Journal of Machine Learning Research
Selective transfer of task knowledge using stochastic noise
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Evolution and hypercomputing in global distributed evolvable virtual machines environment
ESOA'06 Proceedings of the 4th international conference on Engineering self-organising systems
Multitask learning with expert advice
COLT'07 Proceedings of the 20th annual conference on Learning theory
Learning classification rules for multiple target attributes
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Transfer learning for tandem ASR feature extraction
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Image transformation: inductive transfer between multiple tasks having multiple outputs
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Bayesian multitask learning with latent hierarchies
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Knowledge transferring via implicit link analysis
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
An analysis of generalization error in relevant subtask learning
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
A neural network model for sequential multitask pattern recognition problems
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
A novel incremental linear discriminant analysis for multitask pattern recognition problems
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Evolutionary cross-domain discriminative hessian eigenmaps
IEEE Transactions on Image Processing
Automatic detection of users' skill levels using high-frequency user interface events
User Modeling and User-Adapted Interaction
Knowledge transfer for cross domain learning to rank
Information Retrieval
Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
International Journal of Robotics Research
Transfer learning through indirect encoding
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Nonnegative shared subspace learning and its application to social media retrieval
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning incoherent sparse and low-rank patterns from multiple tasks
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-task learning for boosting with application to web search ranking
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Transfer metric learning by learning task relationships
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
A novel learning approach to multiple tasks based on boosting methodology
Pattern Recognition Letters
The Knowledge Engineering Review
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Evolving Static Representations for Task Transfer
The Journal of Machine Learning Research
Three challenges in data mining
Frontiers of Computer Science in China
Concept classification with Bayesian multi-task learning
CN '10 Proceedings of the NAACL HLT 2010 First Workshop on Computational Neurolinguistics
Towards learning rules from natural texts
FAM-LbR '10 Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading
N-best reranking by multitask learning
WMT '10 Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR
Transfer incremental learning for pattern classification
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Sticky hidden Markov modeling of comparative genomic hybridization
IEEE Transactions on Signal Processing
Semantic label sharing for learning with many categories
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Multitask semi-supervised learning with constraints and constraint exceptions
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Vector field learning via spectral filtering
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Relevant subtask learning by constrained mixture models
Intelligent Data Analysis
IEEE Transactions on Evolutionary Computation - Special issue on preference-based multiobjective evolutionary algorithms
Chess revision: acquiring the rules of chess variants through FOL theory revision from examples
ILP'09 Proceedings of the 19th international conference on Inductive logic programming
Predictive maintenance with multi-target classification models
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Sharing features: efficient boosting procedures for multiclass object detection
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Multi-agent learning by distributed feature extraction
ALAMAS'05/ALAMAS'06/ALAMAS'07 Proceedings of the 5th , 6th and 7th European conference on Adaptive and learning agents and multi-agent systems: adaptation and multi-agent learning
Classification with Incomplete Data Using Dirichlet Process Priors
The Journal of Machine Learning Research
Multitask Sparsity via Maximum Entropy Discrimination
The Journal of Machine Learning Research
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
The Journal of Machine Learning Research
Improving accuracy of microarray classification by a simple multi-task feature selection filter
International Journal of Data Mining and Bioinformatics
Knowledge transfer based on feature representation mapping for text classification
Expert Systems with Applications: An International Journal
Neurocomputing
Radial Basis Function Network for Multitask Pattern Recognition
Neural Processing Letters
Cross-domain activity recognition via transfer learning
Pervasive and Mobile Computing
Activity knowledge transfer in smart environments
Pervasive and Mobile Computing
Hierarchical text classification with latent concepts
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
View construction for multi-view semi-supervised learning
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Neural Networks
Consolidation using context-sensitive multiple task learning
Canadian AI'11 Proceedings of the 24th Canadian conference on Advances in artificial intelligence
Integrating low-rank and group-sparse structures for robust multi-task learning
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Computationally Efficient Convolved Multiple Output Gaussian Processes
The Journal of Machine Learning Research
Hybrid artificial neural networks: models, algorithms and data
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Active learning with multiple annotations for comparable data classification task
BUCC '11 Proceedings of the 4th Workshop on Building and Using Comparable Corpora: Comparable Corpora and the Web
Improving articulatory feature and phoneme recognition using multitask learning
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
A compression-based dissimilarity measure for multi-task clustering
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
Multi-task clustering via domain adaptation
Pattern Recognition
Investigation in transfer learning: better way to apply transfer learning between agents
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Constrained logistic regression for discriminative pattern mining
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Common substructure learning of multiple graphical Gaussian models
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Focused multi-task learning using gaussian processes
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Transfer learning with adaptive regularizers
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Compact coding for hyperplane classifiers in heterogeneous environment
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Learning multiple metrics for ranking
Frontiers of Computer Science in China
Inferring multiple graphical structures
Statistics and Computing
Proceedings of the 2011 Workshop on Historical Document Imaging and Processing
BLR-D: applying bilinear logistic regression to factored diagnosis problems
SLAML '11 Managing Large-scale Systems via the Analysis of System Logs and the Application of Machine Learning Techniques
Semi-supervised multiclass Kernel machines with probabilistic constraints
AI*IA'11 Proceedings of the 12th international conference on Artificial intelligence around man and beyond
Multi-task learning for word alignment and dependency parsing
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Simultaneously emerging Braitenberg codes and compositionality
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Multi-platform gene-expression mining and marker gene analysis
International Journal of Data Mining and Bioinformatics
Semi-supervised multi-task learning of structured prediction models for web information extraction
Proceedings of the 20th ACM international conference on Information and knowledge management
Proceedings of the 20th ACM international conference on Information and knowledge management
Multiple-View Multiple-Learner Semi-Supervised Learning
Neural Processing Letters
Shared feature extraction for semi-supervised image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Shared feature extraction for semi-supervised image classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Towards multi-semantic image annotation with graph regularized exclusive group lasso
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Multi-task learning to rank for web search
Pattern Recognition Letters
Natural Language Processing (Almost) from Scratch
The Journal of Machine Learning Research
Kernel Analysis of Deep Networks
The Journal of Machine Learning Research
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning
SIAM Journal on Optimization
Learning Incoherent Sparse and Low-Rank Patterns from Multiple Tasks
ACM Transactions on Knowledge Discovery from Data (TKDD)
Leveraging Auxiliary Data for Learning to Rank
ACM Transactions on Intelligent Systems and Technology (TIST)
BLR-D: applying bilinear logistic regression to factored diagnosis problems
ACM SIGOPS Operating Systems Review
Online multiple tasks one-shot learning of object categories and vision
Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
COLT'06 Proceedings of the 19th annual conference on Learning Theory
A self-organising, self-adaptable cellular system
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Hierarchical multi-classification with predictive clustering trees in functional genomics
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Improving learning by using artificial hints
Neurocomputing
Journal of Biomedical Informatics
Social image annotation via cross-domain subspace learning
Multimedia Tools and Applications
Ensemble learning based on multi-task class labels
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Extensions of the informative vector machine
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Training dependency parsers by jointly optimizing multiple objectives
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Structured sparsity in structured prediction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part III
Expert Systems with Applications: An International Journal
A new multi-task learning technique to predict classification of leukemia and prostate cancer
ICMB'10 Proceedings of the Second international conference on Medical Biometrics
Using previous models to bias structural learning in the hierarchical boa
Evolutionary Computation
Symbol grounding through cumulative learning
EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond
Transferring knowledge of activity recognition across sensor networks
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Transfer Metric Learning with Semi-Supervised Extension
ACM Transactions on Intelligent Systems and Technology (TIST)
Abstraction and generalization in reinforcement learning: a summary and framework
ALA'09 Proceedings of the Second international conference on Adaptive and Learning Agents
Multi-task low-rank metric learning based on common subspace
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Multitask learning using regularized multiple kernel learning
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Learning algorithms for the classification restricted Boltzmann machine
The Journal of Machine Learning Research
A case study on meta-generalising: a Gaussian processes approach
The Journal of Machine Learning Research
Refining Regulatory Networks through Phylogenetic Transfer of Information
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Multi-kernel Gaussian processes
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Pattern field classification with style normalized transformation
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Reinforcement learning to adjust robot movements to new situations
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Cross-Guided Clustering: Transfer of Relevant Supervision across Tasks
ACM Transactions on Knowledge Discovery from Data (TKDD)
Compact hashing for mixed image-keyword query over multi-label images
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Distance-based bias in model-directed optimization of additively decomposable problems
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Robust multi-task feature learning
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Kernels for Vector-Valued Functions: A Review
Foundations and Trends® in Machine Learning
Co-transfer learning via joint transition probability graph based method
Proceedings of the 1st International Workshop on Cross Domain Knowledge Discovery in Web and Social Network Mining
Relational Feature Mining with Hierarchical Multitask kFOIL
Fundamenta Informaticae - Machine Learning in Bioinformatics
Image morphing: transfer learning between tasks that have multiple outputs
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
Model fusion-based batch learning with application to oil spills detection
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Fast multi-task learning for query spelling correction
Proceedings of the 21st ACM international conference on Information and knowledge management
Classifying patterns with missing values using Multi-Task Learning perceptrons
Expert Systems with Applications: An International Journal
Tree ensembles for predicting structured outputs
Pattern Recognition
Multitask multiclass support vector machines: Model and experiments
Pattern Recognition
Learning multiple tasks with boosted decision trees
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
Multi-Task boosting by exploiting task relationships
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Transfer learning, soft distance-based bias, and the hierarchical BOA
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Environmental Modelling & Software
Efficiently learning the preferences of people
Machine Learning
Multi-Task learning using shared and task specific information
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Semi-supervised multitask learning via self-training and maximum entropy discrimination
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Mass scale modeling and simulation of the air-interface load in 3g radio access networks
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Multitask twin support vector machines
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part II
Regularized nonnegative shared subspace learning
Data Mining and Knowledge Discovery
A theory of transfer learning with applications to active learning
Machine Learning
Ten recent trends in computational paralinguistics
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Finite rank kernels for multi-task learning
Advances in Computational Mathematics
Transfer learning in heterogeneous collaborative filtering domains
Artificial Intelligence
Iterative classification for multiple target attributes
Journal of Intelligent Information Systems
Sentiment and topic analysis on social media: a multi-task multi-label classification approach
Proceedings of the 5th Annual ACM Web Science Conference
Transfer learning using a nonparametric sparse topic model
Neurocomputing
Collaborative boosting for activity classification in microblogs
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Double-bootstrapping source data selection for instance-based transfer learning
Pattern Recognition Letters
Efficient online learning for multitask feature selection
ACM Transactions on Knowledge Discovery from Data (TKDD)
Multi-target regression with rule ensembles
The Journal of Machine Learning Research
Multi-task regression using minimal penalties
The Journal of Machine Learning Research
Learning output kernels for multi-task problems
Neurocomputing
Geometry preserving multi-task metric learning
Machine Learning
Parallel deep learning with suggestive activation for object category recognition
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Multiple task learning using iteratively reweighted least square
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Learning high-order task relationships in multi-task learning
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Mixed image-keyword query adaptive hashing over multilabel images
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Proceedings of the 7th ACM international conference on Web search and data mining
User demographics prediction based on mobile data
Pervasive and Mobile Computing
Multi-stage multi-task feature learning
The Journal of Machine Learning Research
Learning potential functions and their representations for multi-task reinforcement learning
Autonomous Agents and Multi-Agent Systems
From machine learning to machine reasoning
Machine Learning
Multi-task learning with one-class SVM
Neurocomputing
| Hi-index | 0.01 |
Multitask Learning is an approach to inductive transfer that improvesgeneralization by using the domain information contained in thetraining signals of related tasks as an inductive bias. Itdoes this by learning tasks in parallel while using a sharedrepresentation; what is learned for each task can help other tasks belearned better. This paper reviews prior work on MTL, presents newevidence that MTL in backprop nets discovers task relatedness withoutthe need of supervisory signals, and presents new results for MTLwith k-nearest neighbor and kernel regression. In this paper wedemonstrate multitask learning in three domains. We explain howmultitask learning works, and show that there are many opportunitiesfor multitask learning in real domains. We present an algorithm andresults for multitask learning with case-based methods like k-nearestneighbor and kernel regression, and sketch an algorithm for multitasklearning in decision trees. Because multitask learning works, can beapplied to many different kinds of domains, and can be used withdifferent learning algorithms, we conjecture there will be manyopportunities for its use on real-world problems.