Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: On sample selection bias and its efficient correction via model averaging and unlabeled examples
Correcting sample selection bias by unlabeled data
Estimating accuracy from unlabeled data: a Bayesian approach
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Generalized Adjustment Under Confounding and Selection Biases
Bayesian Averaging of Classifiers and the Overfitting Problem
Bidirectional Active Learning: A Two-Way Exploration Into Unlabeled and Labeled Data Set
Bias in error estimation when using cross-validation for model selection
Bayesian Model Averaging with BMS
Toward Optimal Active Learning through Sampling Estimation of Error Reduction
Addressing the Curse of Imbalanced Training Sets: One-Sided Selection
Active Learning with Model Selection in Linear Regression
Learning from positive and unlabeled data: a survey
Learning from positive and unlabeled examples
Learning from positive and unlabeled examples with different data distributions
Robust Propensity Score Computation Method based on Machine Learning with Label-corrupted Data
A bias correction for the minimum error rate in cross-validation
Combining labeled and unlabeled data with co-training
The Flexible Correction Model: The Role of Naive Theories of Bias in Bias Correction
Causal Effect Identification by Adjustment under Confounding and Selection Biases.
Multi-Task Learning Using Biased Sampling
Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics
Learning and evaluating classifiers under sample selection bias
Gestational Gigantomastia Complicating Pregnancy: A Case Report and Review of the Literature
Relation extraction and the influence of automatic named-entity recognition
A novel quantum swarm evolutionary algorithm and its applications