We consider a supervised machine learning scenario where labels are provided by a heterogeneous set of teachers, some of which are mediocre, incompetent, or perhaps even malicious...
We provide a framework to exploit dependencies among arms in multi-armed bandit problems, when the dependencies are in the form of a generative model on clusters of arms. We find ...
Goal-oriented methods have increasingly been recognised as an effective means for eliciting, elaborating, analysing and specifying software requirements. A key activity in these a...
Alessandra Russo, Dalal Alrajeh, Jeff Kramer, Seba...
This study uses a similarity-based elastography method to reconstruct elastic modulus values in a simulation of cancerous tumors in the breast. Four similarity metrics were compar...
Michael I. Miga, Megan Rothney, Chad W. Washington
We present a framework for interfacing a PCFG parser with lexical information from an external resource following a different tagging scheme than the treebank. This is achieved by...
Yoav Goldberg, Reut Tsarfaty, Meni Adler, Michael ...