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Semi-supervised speaker identification under covariate shift

Authors: Makoto Yamada, Masashi Sugiyama, Tomoko Matsui - Signal Processing 2009 cited by 50

Sample Selection Bias asa Specification ErrorSample Selection Bias as a Specification ErrorReinforcement learning -an introductionReinforcement learning - an introductionActive learningalgorithm using the…Active learning algorithm using the maximum weighted log-likelihood estimatorDirichlet-Enhanced SpamFiltering based on…Dirichlet-Enhanced Spam Filtering based on Biased SamplesActive Learning inApproximately Linear…Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization ErrorCovariate ShiftAdaptation by Importanc…Covariate Shift Adaptation by Importance Weighted Cross ValidationDirect ImportanceEstimation with Model…Direct Importance Estimation with Model Selection and Its Application to Covariate Shift AdaptationPattern Recognition andMachine LearningPattern Recognition and Machine LearningDirect importanceestimation for covariat…Direct importance estimation for covariate shift adaptationDirect Density RatioEstimation for…Direct Density Ratio Estimation for Large-scale Covariate Shift AdaptationDataset Shift in MachineLearningDataset Shift in Machine LearningAdaptive importancesampling for value…Adaptive importance sampling for value function approximation in off-policy reinforcement learningDensity RatioEstimation: A New…Density Ratio Estimation: A New Versatile Tool for Machine LearningStatistical outlierdetection using direct…Statistical outlier detection using direct density ratio estimationDirect density-ratioestimation with…Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace searchImportance-weightedleast-squares…Importance-weighted least-squares probabilistic classifier for covariate shift adaptation with application to human activity recognitionAdaptive automatic sleepstage classification…Adaptive automatic sleep stage classification under covariate shiftLearning undernonstationarity…Learning under nonstationarity: covariate shift and class‐balance changeAdapting aclassification rule to…Adapting a classification rule to local and global shift when only unlabelled data are availableCorrecting CovariateShift with the…Correcting Covariate Shift with the Frank-Wolfe AlgorithmImportance WeightedImport Vector Machine…Importance Weighted Import Vector Machine for Unsupervised Domain AdaptationLearning in the Wild:When, How, and What to…Learning in the Wild: When, How, and What to Learn for On-Device Dataset AdaptationA One-Step Approach toCovariate Shift…A One-Step Approach to Covariate Shift AdaptationA Review of Off-LineMode Dataset ShiftsA Review of Off-Line Mode Dataset ShiftsSemi-supervised speakeridentification under…Semi-supervised speaker identification under covariate shiftEarlier referencesFocus paperCiting papersOlderNewer

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