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Found 4 papers, 0 papers with code
Cost-effectively Identifying Causal Effect When Only Response Variable Observable
In many real tasks, we care about how to make decisions other than mere predictions on an event, e. g. how to increase the revenue next month instead of knowing it will drop.
Model Reuse with Reduced Kernel Mean Embedding Specification
Given a publicly available pool of machine learning models constructed for various tasks, when a user plans to build a model for her own machine learning application, is it possible to build upon models in the pool such that the previous efforts on these existing models can be reused rather than starting from scratch?
Multi-Label Learning with Deep Forest
In multi-label learning, each instance is associated with multiple labels and the crucial task is how to leverage label correlations in building models.
A Unified View of Multi-Label Performance Measures
Multi-label classification deals with the problem where each instance is associated with multiple class labels.
