A sequential algorithm for training text classifiers
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Learning Information Extraction Rules for Semi-Structured and Free Text
Machine Learning - Special issue on natural language learning
Selective sampling for nearest neighbor classifiers
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Automatic construction of semantic lexicons for learning natural language interfaces
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Content-based book recommending using learning for text categorization
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Active learning using adaptive resampling
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Mixed initiative interfaces for learning tasks: SMARTedit talks back
Proceedings of the 6th international conference on Intelligent user interfaces
Improving learning by choosing examples intelligently in two natural language tasks
Learning language in logic
Sensitivity Analysis for Decision Boundaries
Neural Processing Letters
Active learning in neural networks
New learning paradigms in soft computing
Supervised Training Using an Unsupervised Approach to Active Learning
Neural Processing Letters
On Issues of Instance Selection
Data Mining and Knowledge Discovery
Learning cost-sensitive active classifiers
Artificial Intelligence
Informed Selection of Training Examples for Knowledge Refinement
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
ActiveCP: A Method for Speeding up User Preferences Acquisition in Collaborative Filtering Systems
SBIA '02 Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Ellipsoidal Bias in Learning Appearance-Based Recognition Functions
Proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision: Multi-Image Analysis
Deferring the Learning for Better Generalization in Radial Basis Neural Networks
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Toward a Computational Theory of Data Acquisition and Truthing
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Interactive deduplication using active learning
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Mining complex models from arbitrarily large databases in constant time
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
On learning multicategory classification with sample queries
Information and Computation
Active Sampling for Feature Selection
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
International Journal of Computer Vision - Special Issue on Content-Based Image Retrieval
Selective Sampling for Nearest Neighbor Classifiers
Machine Learning
Active Sampling for Class Probability Estimation and Ranking
Machine Learning
Selective sampling for example-based word sense disambiguation
Computational Linguistics
Minimizing manual annotation cost in supervised training from corpora
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Online Choice of Active Learning Algorithms
The Journal of Machine Learning Research
Active learning for automatic classification of software behavior
ISSTA '04 Proceedings of the 2004 ACM SIGSOFT international symposium on Software testing and analysis
Diverse ensembles for active learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Segmentation of multispectral remote sensing images using active support vector machines
Pattern Recognition Letters
Active learning for detecting a spectrally variable subject in color infrared imagery
Pattern Recognition Letters - Special issue: Pattern recognition for remote sensing (PRRS 2002)
A selective sampling approach to active feature selection
Artificial Intelligence
Stochastic scheduling of active support vector learning algorithms
Proceedings of the 2005 ACM symposium on Applied computing
IEEE Transactions on Knowledge and Data Engineering
Example selection for bootstrapping statistical parsers
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Economical active feature-value acquisition through Expected Utility estimation
UBDM '05 Proceedings of the 1st international workshop on Utility-based data mining
Tri-Training: Exploiting Unlabeled Data Using Three Classifiers
IEEE Transactions on Knowledge and Data Engineering
Cost-Constrained Data Acquisition for Intelligent Data Preparation
IEEE Transactions on Knowledge and Data Engineering
Active learning for Hidden Markov Models: objective functions and algorithms
ICML '05 Proceedings of the 22nd international conference on Machine learning
Sample Selection for Statistical Parsing
Computational Linguistics
An Expected Utility Approach to Active Feature-Value Acquisition
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Proceedings of the 11th international conference on Intelligent user interfaces
Sample selection for statistical grammar induction
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
On minimizing training corpus for parser acquisition
ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7
Active learning for HPSG parse selection
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Generalization and Selection of Examples in Feedforward Neural Networks
Neural Computation
ICML '06 Proceedings of the 23rd international conference on Machine learning
An active approach to spoken language processing
ACM Transactions on Speech and Language Processing (TSLP)
Performance thresholding in practical text classification
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
On-line anomaly detection of deployed software: a statistical machine learning approach
Proceedings of the 3rd international workshop on Software quality assurance
Duplicate Record Detection: A Survey
IEEE Transactions on Knowledge and Data Engineering
Active EM to reduce noise in activity recognition
Proceedings of the 12th international conference on Intelligent user interfaces
Sensitivity Analysis for Selective Learning by Feedforward Neural Networks
Fundamenta Informaticae
Sensitivity Analysis for Selective Learning by Feedforward Neural Networks
Fundamenta Informaticae
Maximizing classifier utility when training data is costly
ACM SIGKDD Explorations Newsletter
Learning payoff functions in infinite games
Machine Learning
Internet-scale collection of human-reviewed data
Proceedings of the 16th international conference on World Wide Web
The Crystallizing Substochastic Sequential Machine Extractor: CrySSMEx
Neural Computation
Active Learning with Feedback on Features and Instances
The Journal of Machine Learning Research
Discovering and Exploiting Causal Dependencies for Robust Mobile Context-Aware Recommenders
IEEE Transactions on Knowledge and Data Engineering
Analysis of selective strategies to build a dependency-analyzed corpus
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Active learning for real-time motion controllers
ACM SIGGRAPH 2007 papers
An interactive algorithm for asking and incorporating feature feedback into support vector machines
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Improving active learning recall via disjunctive boolean constraints
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Practical learning from one-sided feedback
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Selectively acquiring ratings for product recommendation
Proceedings of the ninth international conference on Electronic commerce
Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce
Proceedings of the ninth international conference on Electronic commerce
Rapid annotation through human-machine collaboration
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Selective sampling of training data for speech recognition
HLT '02 Proceedings of the second international conference on Human Language Technology Research
SPHINX: Schema integration by example
Journal of Intelligent Information Systems
Improving Speech Recognition and Understanding using Error-Corrective Reranking
ACM Transactions on Asian Language Information Processing (TALIP)
A stopping criterion for active learning
Computer Speech and Language
Active learning for e-rulemaking: public comment categorization
dg.o '08 Proceedings of the 2008 international conference on Digital government research
An active learning system for mining time-changing data streams
Intelligent Data Analysis
Evolutionary approach to combined multiple models tuning
International Journal of Knowledge-based and Intelligent Engineering Systems - Extended papers selected from KES-2006
Hierarchical sampling for active learning
Proceedings of the 25th international conference on Machine learning
Knows what it knows: a framework for self-aware learning
Proceedings of the 25th international conference on Machine learning
On multi-view active learning and the combination with semi-supervised learning
Proceedings of the 25th international conference on Machine learning
Learning from labeled features using generalized expectation criteria
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Active learning with direct query construction
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Get another label? improving data quality and data mining using multiple, noisy labelers
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Customer targeting models using actively-selected web content
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Selective generation of training examples in active meta-learning
International Journal of Hybrid Intelligent Systems - HIS 2007
Maximizing classifier utility when there are data acquisition and modeling costs
Data Mining and Knowledge Discovery
Data Mining and Knowledge Discovery
Guest editorial: special issue on utility-based data mining
Data Mining and Knowledge Discovery
Adaptive prototype-based fuzzy classification
Fuzzy Sets and Systems
Dynamic Distance-Based Active Learning with SVM
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
An Active Learning Method Based on Most Possible Misclassification Sampling Using Committee
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Decision Tree Instability and Active Learning
ECML '07 Proceedings of the 18th European conference on Machine Learning
Maximum Margin Active Learning for Sequence Labeling with Different Length
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
Active Learning Using a Constructive Neural Network Algorithm
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
International Journal of Remote Sensing
Improving supervised learning performance by using fuzzy clustering method to select training data
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Fuzzy theory and technology with applications
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Bellwether analysis: Searching for cost-effective query-defined predictors in large databases
ACM Transactions on Knowledge Discovery from Data (TKDD)
Active learning for object classification: from exploration to exploitation
Data Mining and Knowledge Discovery
A Density-Based Re-ranking Technique for Active Learning for Data Annotations
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Active Learning Strategies for Multi-Label Text Classification
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Active Feature-Value Acquisition
Management Science
Expert Systems with Applications: An International Journal
Importance weighted active learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Online feature elicitation in interactive optimization
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Active learning for directed exploration of complex systems
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Active dual supervision: reducing the cost of annotating examples and features
HLT '09 Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing
Using machine learning in a cooperative hybrid parallel strategy of metaheuristics
Information Sciences: an International Journal
Sample selection for statistical parsers: cognitively driven algorithms and evaluation measures
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
Interactive feature space construction using semantic information
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
Active learning with near misses
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
A weakly supervised learning approach for spoken language understanding
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
An analysis of active learning strategies for sequence labeling tasks
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
MMR-based active machine learning for bio named entity recognition
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
Reducing labeling effort for structured prediction tasks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Actively exploring creation of face space(s) for improved face recognition
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Semi-automatic entity set refinement
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Active learning for statistical phrase-based machine translation
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Spoken language understanding using weakly supervised learning
Computer Speech and Language
Acquiring word-meaning mappings for natural language interfaces
Journal of Artificial Intelligence Research
Learning when training data are costly: the effect of class distribution on tree induction
Journal of Artificial Intelligence Research
Active learning with multiple views
Journal of Artificial Intelligence Research
Interactive policy learning through confidence-based autonomy
Journal of Artificial Intelligence Research
Active learning with statistical models
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research
Active learning with strong and weak views: a case study on wrapper induction
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Constructing diverse classifier ensembles using artificial training examples
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Learning Minesweeper with multirelational learning
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Reflect and correct: A misclassification prediction approach to active inference
ACM Transactions on Knowledge Discovery from Data (TKDD)
Active learning for class probability estimation and ranking
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Active cost-sensitive learning
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Practical lessons of data mining at Yahoo!
Proceedings of the 18th ACM conference on Information and knowledge management
Intelligent acquisition and learning of fluorescence microscope data models
IEEE Transactions on Image Processing
Reducing the annotation effort for letter-to-phoneme conversion
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
Active learning for sensorimotor coordinations of autonomous robots
HSI'09 Proceedings of the 2nd conference on Human System Interactions
Mine the easy, classify the hard: a semi-supervised approach to automatic sentiment classification
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
Active Generation of Training Examples in Meta-Regression
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Efficient Coverage of Case Space with Active Learning
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
A discriminative model for semi-supervised learning
Journal of the ACM (JACM)
Towards maximizing the accuracy of human-labeled sensor data
Proceedings of the 15th international conference on Intelligent user interfaces
An improved sample selection algorithm in fuzzy decision tree induction
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Active learning for multiple sensorimotor coordination based on state confidence
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Confidence-based stopping criteria for active learning for data annotation
ACM Transactions on Speech and Language Processing (TSLP)
Collaborative case retention strategies for CBR agents
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
COLT'07 Proceedings of the 20th annual conference on Learning theory
Active learning strategies: a case study for detection of emotions in speech
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Novel classification and segmentation techniques with application to remotely sensed images
Transactions on rough sets VII
Transductive learning for spatial regression with co-training
Proceedings of the 2010 ACM Symposium on Applied Computing
Active learning to support the generation of meta-examples
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Unsupervised training and directed manual transcription for LVCSR
Speech Communication
Selective sampling for classification
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
On active learning of record matching packages
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
A study of spam filtering using support vector machines
Artificial Intelligence Review
Learning-based robot vision: principles and applications
Learning-based robot vision: principles and applications
Focusing solutions for data mining: analytical studies and experimental results in real-world domains
A general active-learning framework for on-road vehicle recognition and tracking
IEEE Transactions on Intelligent Transportation Systems
SED: supervised experimental design and its application to text classification
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Using learning algorithm behavior to chart task space: The DICES distance
Intelligent Data Analysis
On the Foundations of Noise-free Selective Classification
The Journal of Machine Learning Research
Using variance as a stopping criterion for active learning of frame assignment
ALNLP '10 Proceedings of the NAACL HLT 2010 Workshop on Active Learning for Natural Language Processing
d-Confidence: an active learning strategy which efficiently identifies small classes
ALNLP '10 Proceedings of the NAACL HLT 2010 Workshop on Active Learning for Natural Language Processing
Domain adaptation meets active learning
ALNLP '10 Proceedings of the NAACL HLT 2010 Workshop on Active Learning for Natural Language Processing
Active learning with sampling by uncertainty and density for data annotations
IEEE Transactions on Audio, Speech, and Language Processing
Active learning with committees for text categorization
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Improved natural language learning via variance-regularization support vector machines
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Improved fully unsupervised parsing with zoomed learning
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Estimating accuracy for text classification tasks on large unlabeled data
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Active learning in parallel universes
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Building comprehensible customer churn prediction models with advanced rule induction techniques
Expert Systems with Applications: An International Journal
Software intelligence: the future of mining software engineering data
Proceedings of the FSE/SDP workshop on Future of software engineering research
Active learning for sequence labelling with probability re-estimation
PRICAI'10 Proceedings of the 11th Pacific Rim international conference on Trends in artificial intelligence
A unified approach to active dual supervision for labeling features and examples
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Asking generalized queries to ambiguous oracle
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
A cluster-level semi-supervision model for interactive clustering
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Complexity bounds for batch active learning in classification
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Active learning in multimedia annotation and retrieval: A survey
ACM Transactions on Intelligent Systems and Technology (TIST)
Active learning from stream data using optimal weight classifier ensemble
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Identifying financially successful start-up profiles with data mining
Expert Systems with Applications: An International Journal
Learning to ask the right questions to help a learner learn
Proceedings of the 16th international conference on Intelligent user interfaces
Which clustering do you want? inducing your ideal clustering with minimal feedback
Journal of Artificial Intelligence Research
A clustering-based data reduction for very large spatio-temporal datasets
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Theoretical Computer Science
Theoretical Computer Science
Classification as clustering: A pareto cooperative-competitive gp approach
Evolutionary Computation
Support vector neural training
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Semi-supervised genetic programming for classification
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Unbiased online active learning in data streams
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Smoothness, Disagreement Coefficient, and the Label Complexity of Agnostic Active Learning
The Journal of Machine Learning Research
Combining meta-learning and active selection of datasetoids for algorithm selection
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part I
Using decision-theoretic experience sampling to build personalized mobile phone interruption models
Pervasive'11 Proceedings of the 9th international conference on Pervasive computing
Uncertainty sampling-based active selection of datasetoids for meta-learning
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Discriminative experimental design
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Active learning with evolving streaming data
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
An ontology-based method for duplicate detection in web data tables
DEXA'11 Proceedings of the 22nd international conference on Database and expert systems applications - Volume Part I
An active learning scenario for interactive machine translation
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Efficient Learning with Partially Observed Attributes
The Journal of Machine Learning Research
Adaptive active classification of cell assay images
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Active learning with irrelevant examples
ECML'06 Proceedings of the 17th European conference on Machine Learning
Uncertainty-based active learning with instability estimation for text classification
ACM Transactions on Speech and Language Processing (TSLP)
Active learning with semi-automatic annotation for extractive speech summarization
ACM Transactions on Speech and Language Processing (TSLP)
Improving classification for microarray data sets by constructing synthetic data
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
Efficient algorithms for general active learning
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Evolutionary tuning of combined multiple models
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Active learning for probability estimation using jensen-shannon divergence
ECML'05 Proceedings of the 16th European conference on Machine Learning
Reinforcement learning using a grid based function approximator
Biomimetic Neural Learning for Intelligent Robots
Remote sensing image segmentation by active queries
Pattern Recognition
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Is Someone in this Office Available to Help Me?
Journal of Intelligent and Robotic Systems
Evaluation methods and strategies for the interactive use of classifiers
International Journal of Human-Computer Studies
Combining Uncertainty Sampling methods for supporting the generation of meta-examples
Information Sciences: an International Journal
The Journal of Machine Learning Research
Active learning via perfect selective classification
The Journal of Machine Learning Research
Inconsistency-based active learning for support vector machines
Pattern Recognition
Mathematical and Computer Modelling: An International Journal
Active sampling for entity matching
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Activized learning: transforming passive to active with improved label complexity
The Journal of Machine Learning Research
Enhancing image retrieval by an exploration-exploitation approach
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Sensitivity Analysis for Selective Learning by Feedforward Neural Networks
Fundamenta Informaticae
On multiple-instance learning of halfspaces
Information Processing Letters
Sensitivity Analysis for Selective Learning by Feedforward Neural Networks
Fundamenta Informaticae
A random forest system combination approach for error detection in digital dictionaries
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
Building a personalized audio equalizer interface with transfer learning and active learning
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies
Map to humans and reduce error: crowdsourcing for deduplication applied to digital libraries
Proceedings of the 21st ACM international conference on Information and knowledge management
Autonomous shaping via coevolutionary selection of training experience
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part II
Active learning of inverse models with intrinsically motivated goal exploration in robots
Robotics and Autonomous Systems
A theory of transfer learning with applications to active learning
Machine Learning
Active hashing and its application to image and text retrieval
Data Mining and Knowledge Discovery
Semi-Supervised Policy Recommendation for Online Social Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Selective sampling on graphs for classification
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Active Sampling for Entity Matching with Guarantees
ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on ACM SIGKDD 2012
Towards anytime active learning: interrupting experts to reduce annotation costs
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics
Physical modelling and supervised training of a virtual string quartet
Proceedings of the 21st ACM international conference on Multimedia
Intelligently querying incomplete instances for improving classification performance
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Active AODE learning based on a novel sampling strategy and its application
International Journal of Computer Applications in Technology
Active Learning with Bootstrapped Dendritic Classifier applied to medical image segmentation
Pattern Recognition Letters
Improving Text Classification Accuracy by Training Label Cleaning
ACM Transactions on Information Systems (TOIS)
Scalable progressive analytics on big data in the cloud
Proceedings of the VLDB Endowment
Cost-sensitive active learning for computer-assisted translation
Pattern Recognition Letters
Efficient active learning of halfspaces: an aggressive approach
The Journal of Machine Learning Research
An ensemble-clustering-based distance metric and its applications
International Journal of Business Intelligence and Data Mining
Autonomously learning to visually detect where manipulation will succeed
Autonomous Robots
Active Rare Class Discovery and Classification Using Dirichlet Processes
International Journal of Computer Vision
A domain-independent statistical methodology for dialog management in spoken dialog systems
Computer Speech and Language
Learning from natural instructions
Machine Learning
Gaussian Processes for POMDP-Based Dialogue Manager Optimization
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
Repeated labeling using multiple noisy labelers
Data Mining and Knowledge Discovery
Multiagent and Grid Systems
Applications of Hybrid Extreme Rotation Forests for image segmentation
International Journal of Hybrid Intelligent Systems
Collaborative information acquisition for data-driven decisions
Machine Learning
Active learning for on-road vehicle detection: a comparative study
Machine Vision and Applications
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Active learning differs from “learning from examples” in that the learning algorithm assumes at least some control over what part of the input domain it receives information about. In some situations, active learning is provably more powerful than learning from examples alone, giving better generalization for a fixed number of training examples.In this article, we consider the problem of learning a binary concept in the absence of noise. We describe a formalism for active concept learning called selective sampling and show how it may be approximately implemented by a neural network. In selective sampling, a learner receives distribution information from the environment and queries an oracle on parts of the domain it considers “useful.” We test our implementation, called an SG-network, on three domains and observe significant improvement in generalization.