The problem of learning with positive and unlabeled examples arises frequently in retrieval applications. We transform the problem into a problem of learning with noise by labelin...
We introduce a Hoare logic for higher-order functional languages with control operators such as callcc. The key idea is to build the assertion language and proof rules around an e...
In our approach to the Programming Languages course, formal models are integrated as a thread that pervades the course, rather than as a one of many topics that is introduced and ...
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
The paper presents a kernel for learning from ordered hypergraphs, a formalization that captures relational data as used in Inductive Logic Programming (ILP). The kernel generaliz...