Machine Learning
Boosting with Noisy Data: Some Views from Statistical Theory
Neural Computation
Embedded predictive modeling in a parallel relational database
Proceedings of the 2006 ACM symposium on Applied computing
Coupling feature selection and machine learning methods for navigational query identification
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Data Mining and Knowledge Discovery
Gradient boosting for kernelized output spaces
Proceedings of the 24th international conference on Machine learning
A local boosting algorithm for solving classification problems
Computational Statistics & Data Analysis
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Reconfigurable computing for learning Bayesian networks
Proceedings of the 16th international ACM/SIGDA symposium on Field programmable gate arrays
An efficient modified boosting method for solving classification problems
Journal of Computational and Applied Mathematics
Software reliability prediction by soft computing techniques
Journal of Systems and Software
Phone duration modeling using gradient tree boosting
Speech Communication
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Additive Groves of Regression Trees
ECML '07 Proceedings of the 18th European conference on Machine Learning
Solving Regression by Learning an Ensemble of Decision Rules
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Bootstrap estimated true and false positive rates and ROC curve
Computational Statistics & Data Analysis
Handling class imbalance in customer churn prediction
Expert Systems with Applications: An International Journal
Predicting the readability of short web summaries
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Automated extraction of expert knowledge in analog topology selection and sizing
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
Importance sampled circuit learning ensembles for robust analog IC design
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
Improved estimation of software project effort using multiple additive regression trees
Expert Systems with Applications: An International Journal
An image-based automatic Arabic translation system
Pattern Recognition
Computational Statistics & Data Analysis
Multi-task learning for learning to rank in web search
Proceedings of the 18th ACM conference on Information and knowledge management
Web search result summarization: title selection algorithms and user satisfaction
Proceedings of the 18th ACM conference on Information and knowledge management
Stochastic gradient boosted distributed decision trees
Proceedings of the 18th ACM conference on Information and knowledge management
Optimization of temporal processes: a model predictive control approach
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
Accurate and efficient processor performance prediction via regression tree based modeling
Journal of Systems Architecture: the EUROMICRO Journal
Exploratory undersampling for class-imbalance learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Improving web search relevance with semantic features
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
A data mining approach to strategy prediction
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Bagging different instead of similar models for regression and classification problems
International Journal of Computer Applications in Technology
The Bayesian Additive Classification Tree applied to credit risk modelling
Computational Statistics & Data Analysis
Web-services classification using intelligent techniques
Expert Systems with Applications: An International Journal
Two bagging algorithms with coupled learners to encourage diversity
IDA'07 Proceedings of the 7th international conference on Intelligent data analysis
A framework for modeling positive class expansion with single snapshot
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Multiobjective optimization of temporal processes
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Learning the click-through rate for rare/new ads from similar ads
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Combining predictions for accurate recommender systems
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to combine discriminative classifiers: confidence based
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Location disambiguation in local searches using gradient boosted decision trees
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A low variance error boosting algorithm
Applied Intelligence
Resolving surface forms to Wikipedia topics
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Sensitivity analysis for complex ecological models - A new approach
Environmental Modelling & Software
Boundary detection using f-measure-, filter- and feature- (F3) boost
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
Improving phone duration modelling using support vector regression fusion
Speech Communication
A comparative study on the performance of several ensemble methods with low subsampling ratio
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Adaptive bootstrapping of recommender systems using decision trees
Proceedings of the fourth ACM international conference on Web search and data mining
Proceedings of the fourth ACM international conference on Web search and data mining
A study on the impact of product images on user clicks for online shopping
Proceedings of the 20th international conference companion on World wide web
Municipal revenue prediction by ensembles of neural networks and support vector machines
WSEAS Transactions on Computers
Municipal revenue prediction by support vector machine ensembles
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume I
Stochastic boosting algorithms
Statistics and Computing
Bid landscape forecasting in online ad exchange marketplace
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
I want to answer; who has a question?: Yahoo! answers recommender system
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Modeling the temperature of hot rolled steel plate with semi-supervised learning methods
DS'11 Proceedings of the 14th international conference on Discovery science
Location-aware click prediction in mobile local search
Proceedings of the 20th ACM international conference on Information and knowledge management
Predicting document effectiveness in pseudo relevance feedback
Proceedings of the 20th ACM international conference on Information and knowledge management
Re-mining item associations: Methodology and a case study in apparel retailing
Decision Support Systems
Gradient boosting trees for auto insurance loss cost modeling and prediction
Expert Systems with Applications: An International Journal
An experimental comparison of classification algorithms for imbalanced credit scoring data sets
Expert Systems with Applications: An International Journal
Local additive regression of decision stumps
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Intrusion detection based on behavior mining and machine learning techniques
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Feature selection for improved phone duration modeling of greek emotional speech
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
PocketWeb: instant web browsing for mobile devices
ASPLOS XVII Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems
Online modeling of proactive moderation system for auction fraud detection
Proceedings of the 21st international conference on World Wide Web
Analyzing and predicting question quality in community question answering services
Proceedings of the 21st international conference companion on World Wide Web
Save the best for last? The treatment of dominant predictors in financial forecasting
Expert Systems with Applications: An International Journal
Intelligible models for classification and regression
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Heterogeneous ensemble for feature drifts in data streams
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
An exploration of ranking heuristics in mobile local search
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Automatic refinement of patent queries using concept importance predictors
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Prefetching query results and its impact on search engines
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Sequential manifold learning for efficient churn prediction
Expert Systems with Applications: An International Journal
Using boosted trees for click-through rate prediction for sponsored search
Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy
Dynamic ad layout revenue optimization for display advertising
Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy
Learning-Based pseudo-relevance feedback for patent retrieval
IRFC'12 Proceedings of the 5th conference on Multidisciplinary Information Retrieval
Ensemble approaches for regression: A survey
ACM Computing Surveys (CSUR)
Recipe recommendation using ingredient networks
Proceedings of the 3rd Annual ACM Web Science Conference
Machine Learning Methods For Detecting Patterns Of Management Fraud
Computational Intelligence
Hybrid intelligent systems for predicting software reliability
Applied Soft Computing
Peer-to-peer multi-class boosting
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
Contextual object detection using set-based classification
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Can social features help learning to rank youtube videos?
WISE'12 Proceedings of the 13th international conference on Web Information Systems Engineering
Application of Machine Learning Techniques to Predict Software Reliability
International Journal of Applied Evolutionary Computation
Bagging ensemble selection for regression
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Engineering Applications of Artificial Intelligence
Prediction of forest aboveground biomass: an exercise on avoiding overfitting
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Exploiting user feedback to learn to rank answers in q&a forums: a case study with stack overflow
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Studying page life patterns in dynamical web
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Web usage mining with semantic analysis
Proceedings of the 22nd international conference on World Wide Web
Sensing the pulse of urban refueling behavior
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Personalization of web-search using short-term browsing context
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Entity-centric document filtering: boosting feature mapping through meta-features
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Fit or unfit: analysis and prediction of 'closed questions' on stack overflow
Proceedings of the first ACM conference on Online social networks
Proceedings of the 2013 KDD Cup 2013 Workshop
Contextual rule-based feature engineering for author-paper identification
Proceedings of the 2013 KDD Cup 2013 Workshop
Towards predicting query execution time for concurrent and dynamic database workloads
Proceedings of the VLDB Endowment
A causal inference approach to measure price elasticity in Automobile Insurance
Expert Systems with Applications: An International Journal
An efficient framework for online advertising effectiveness measurement and comparison
Proceedings of the 7th ACM international conference on Web search and data mining
Where to go from here? Mobility prediction from instantaneous information
Pervasive and Mobile Computing
How to Improve Your Search Engine Ranking: Myths and Reality
ACM Transactions on the Web (TWEB)
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Gradient boosting constructs additive regression models by sequentially fitting a simple parameterized function (base learner) to current "pseudo'-residuals by least squares at each iteration. The pseudo-residuals are the gradient of the loss functional being minimized, with respect to the model values at each training data point evaluated at the current step. It is shown that both the approximation accuracy and execution speed of gradient boosting can be substantially improved by incorporating randomization into the procedure. Specifically, at each iteration a subsample of the training data is drawn at random (without replacement) from the full training data set. This randomly selected subsample is then used in place of the full sample to fit the base learner and compute the model update for the current iteration. This randomized approach also increases robustness against overcapacity of the base learner.