C4.5: programs for machine learning
C4.5: programs for machine learning
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Improved boosting algorithms using confidence-rated predictions
COLT' 98 Proceedings of the eleventh annual conference on Computational learning theory
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
BoosTexter: A Boosting-based Systemfor Text Categorization
Machine Learning - Special issue on information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
The Alternating Decision Tree Learning Algorithm
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
A maximal figure-of-merit learning approach to text categorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
A MFoM learning approach to robust multiclass multi-label text categorization
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization
IEEE Transactions on Knowledge and Data Engineering
Learning multi-label alternating decision trees from texts and data
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Automatic image annotation via local multi-label classification
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Hypergraph spectral learning for multi-label classification
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-label Lazy Associative Classification
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Large scale multi-label classification via metalabeler
Proceedings of the 18th international conference on World wide web
Ml-rbf: RBF Neural Networks for Multi-Label Learning
Neural Processing Letters
Feature selection for multi-label naive Bayes classification
Information Sciences: an International Journal
ART-Based Neural Networks for Multi-label Classification
IDA '09 Proceedings of the 8th International Symposium on Intelligent Data Analysis: Advances in Intelligent Data Analysis VIII
An Evidence-Theoretic k-Nearest Neighbor Rule for Multi-label Classification
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
Multi-label learning by instance differentiation
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Multi-label dimensionality reduction via dependence maximization
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Semi-automatic dynamic auxiliary-tag-aided image annotation
Pattern Recognition
Expert Systems with Applications: An International Journal
Image categorization combining neighborhood methods and boosting
LS-MMRM '09 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining
Label to region by bi-layer sparsity priors
MM '09 Proceedings of the 17th ACM international conference on Multimedia
An Enhanced Probabilistic Neural Network Approach Applied to Text Classification
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Multi-label Text Classification Approach for Sentence Level News Emotion Analysis
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
Representing uncertainty on set-valued variables using belief functions
Artificial Intelligence
A shared-subspace learning framework for multi-label classification
ACM Transactions on Knowledge Discovery from Data (TKDD)
Supervised feature extraction using Hilbert-Schmidt norms
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
Multi-label learning by Image-to-Class distance for scene classification and image annotation
Proceedings of the ACM International Conference on Image and Video Retrieval
Multilabel classification with meta-level features
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Multi-label learning by exploiting label dependency
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
A semi-dependent decomposition approach to learn hierarchical classifiers
Pattern Recognition
Multilabel dimensionality reduction via dependence maximization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Combine multi-valued attribute decomposition with multi-label learning
Expert Systems with Applications: An International Journal
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Mr.KNN: soft relevance for multi-label classification
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Image segmentation with patch-pair density priors
Proceedings of the international conference on Multimedia
Evidential multi-label classification approach to learning from data with imprecise labels
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Image to text translation by multi-label classification
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Sparse representation: extract adaptive neighborhood for multilabel classification
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
Analyzing classification methods in multi-label tasks
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Multi-label classification and extracting predicted class hierarchies
Pattern Recognition
Gait-based human age estimation
IEEE Transactions on Information Forensics and Security
Designing a multi-label kernel machine with two-objective optimization
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
International Journal of Learning Technology
Multi-dimensional classification with Bayesian networks
International Journal of Approximate Reasoning
Multiple classifier method for structured output prediction based on error correcting output codes
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
A transductive multi-label learning approach for video concept detection
Pattern Recognition
Particle swarm optimization for multi-label classification
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Voting based learning classifier system for multi-label classification
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Detecting malicious web links and identifying their attack types
WebApps'11 Proceedings of the 2nd USENIX conference on Web application development
Enhancing multi-label music genre classification through ensemble techniques
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
A multilabel text classification algorithm for labeling risk factors in SEC form 10-K
ACM Transactions on Management Information Systems (TMIS)
Feature selection for multi-label classification problems
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Aggregating independent and dependent models to learn multi-label classifiers
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section on ACM multimedia 2010 best paper candidates, and issue on social media
Two stage architecture for multi-label learning
Pattern Recognition
Multi-score learning for affect recognition: the case of body postures
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I
Using random walks for multi-label classification
Proceedings of the 20th ACM international conference on Information and knowledge management
FSKNN: Multi-label text categorization based on fuzzy similarity and k nearest neighbors
Expert Systems with Applications: An International Journal
RW.KNN: a proposed random walk KNN algorithm for multi-label classification
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management
Multi-instance multi-label learning
Artificial Intelligence
Ensemble approach based on conditional random field for multi-label image and video annotation
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Drosophila Gene Expression Pattern Annotation through Multi-Instance Multi-Label Learning
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
An efficient multi-label support vector machine with a zero label
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Multilabel classification using heterogeneous ensemble of multi-label classifiers
Pattern Recognition Letters
Multi-label classification models for sustainable flood retention basins
Environmental Modelling & Software
Machine Recognition of Music Emotion: A Review
ACM Transactions on Intelligent Systems and Technology (TIST)
Image label completion by pursuing contextual decomposability
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Improving multilabel classification performance by using ensemble of multi-label classifiers
MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems
Multi-label weighted k-nearest neighbor classifier with adaptive weight estimation
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
A model for multi-label classification and ranking of learning objects
Expert Systems with Applications: An International Journal
An extensive experimental comparison of methods for multi-label learning
Pattern Recognition
Hybrid decision tree architecture utilizing local SVMs for multi-label classification
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Improving multi-label classifiers via label reduction with association rules
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Automatic state abstraction from demonstration
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
LIFT: multi-label learning with label-specific features
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Multi-kernel multi-label learning with max-margin concept network
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Bayesian chain classifiers for multidimensional classification
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Multilabel classifiers with a probabilistic thresholding strategy
Pattern Recognition
Automated Tagging for the Retrieval of Software Resources in Grid and Cloud Infrastructures
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Labelset anchored subspace ensemble (LASE) for multi-label annotation
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Multi-label software behavior learning
Proceedings of the 34th International Conference on Software Engineering
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning tree structure of label dependency for multi-label learning
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Multilabel classification with principal label space transformation
Neural Computation
Pattern classification of dermoscopy images: A perceptually uniform model
Pattern Recognition
Label-to-region with continuity-biased bi-layer sparsity priors
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
An incremental neural network with a reduced architecture
Neural Networks
Boosting k-NN for Categorization of Natural Scenes
International Journal of Computer Vision
Proceedings of the 21st ACM international conference on Information and knowledge management
Multi-label ensemble based on variable pairwise constraint projection
Information Sciences: an International Journal
Fast multi-label core vector machine
Pattern Recognition
Towards a semi-automatic personal digital diary: detecting daily activities from smartphone sensors
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Max-margin embedding for multi-label learning
Pattern Recognition Letters
Feature selection for multi-label classification using multivariate mutual information
Pattern Recognition Letters
Multi-Label Classification Method for Multimedia Tagging
International Journal of Multimedia Data Engineering & Management
Multi-label image annotation based on multi-model
Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
An efficient algorithm for feature selection with feature correlation
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Instance-Ranking: a new perspective to consider the instance dependency for classification
PAKDD'12 Proceedings of the 2012 Pacific-Asia conference on Emerging Trends in Knowledge Discovery and Data Mining
A grammar-guided genetic programming algorithm for multi-label classification
EuroGP'13 Proceedings of the 16th European conference on Genetic Programming
Iterative classification for multiple target attributes
Journal of Intelligent Information Systems
Artificial Intelligence in Medicine
Tag recommendation in software information sites
Proceedings of the 10th Working Conference on Mining Software Repositories
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Ensemble multi-label learning based on neural network
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Multilabel relationship learning
ACM Transactions on Knowledge Discovery from Data (TKDD)
Multi-label classification based on analog reasoning
Expert Systems with Applications: An International Journal
Bayesian Canonical correlation analysis
The Journal of Machine Learning Research
Belief functions on distributive lattices
Artificial Intelligence
An efficient probabilistic framework for multi-dimensional classification
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Expert Systems with Applications: An International Journal
LCMKL: latent-community and multi-kernel learning based image annotation
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Real-time classification via sparse representation in acoustic sensor networks
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
A study on multi-label classification
ICDM'13 Proceedings of the 13th international conference on Advances in Data Mining: applications and theoretical aspects
Neighborhood rough sets based multi-label classification for automatic image annotation
International Journal of Approximate Reasoning
Early active learning via robust representation and structured sparsity
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Dependent binary relevance models for multi-label classification
Pattern Recognition
Multi-label classification by exploiting label correlations
Expert Systems with Applications: An International Journal
Random block coordinate descent method for multi-label support vector machine with a zero label
Expert Systems with Applications: An International Journal
Pattern Recognition Letters
Multi-label learning under feature extraction budgets
Pattern Recognition Letters
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Multi-label learning originated from the investigation of text categorization problem, where each document may belong to several predefined topics simultaneously. In multi-label learning, the training set is composed of instances each associated with a set of labels, and the task is to predict the label sets of unseen instances through analyzing training instances with known label sets. In this paper, a multi-label lazy learning approach named ML-KNN is presented, which is derived from the traditional K-nearest neighbor (KNN) algorithm. In detail, for each unseen instance, its K nearest neighbors in the training set are firstly identified. After that, based on statistical information gained from the label sets of these neighboring instances, i.e. the number of neighboring instances belonging to each possible class, maximum a posteriori (MAP) principle is utilized to determine the label set for the unseen instance. Experiments on three different real-world multi-label learning problems, i.e. Yeast gene functional analysis, natural scene classification and automatic web page categorization, show that ML-KNN achieves superior performance to some well-established multi-label learning algorithms.