2015/07/20 · Our framework defines a general abstract framework of iterative learning, based on a hypothesis space that captures the synthesized objects, a ...

We develop abstract learning frameworks for synthesis that embody the principles of the CEGIS (counterexample-guided inductive synthesis) algorithms in ...

Our framework is based on iterative learning from a hypothesis space that captures synthesized objects, using counterexamples from an abstract sample space, and ...

We develop abstract learning frameworks (ALFs) for synthesis that embody the principles of CEGIS (counter-example based inductive synthesis) strategies that ...

This framework is based on iterative learning from a hypothesis space that captures synthesized objects, using counterexamples from an abstract sample space ...

We develop abstract learning frameworks for synthesis that embody the principles of the CEGIS (counterexample-guided inductive synthesis) algorithms in ...

The goal of this paper is to develop a theory of iterative learning-based synthesis through a formalism we call abstract learning frameworks for synthesis.

Abstract Learning Frameworks for Synthesis. Löding, Christof; Madhusudan, P.; Neider, Daniel (Corresponding author). Berlin ; Heidelberg : Springer (2016)

Abstract Learning Frameworks for Synthesis. https://doi.org/10.1007/978-3-662-49674-9_10 · Full text. Journal: Tools and Algorithms for the Construction and ...

We develop abstract learning frameworks for synthesis that embody the principles of the CEGIS (counterexample-guided inductive synthesis) algorithms in current ...