Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
We investigate user-guided evolution for the development of virtual 3D building structures for the prototype (commercial) game Subversion, which is being developed by Introversion ...
Andrew Martin, Andrew Lim, Simon Colton, Cameron B...
Abstract. Bounded-exhaustive testing is an automated testing methodology that checks the code under test for all inputs within given bounds: first the user describes a set of test...
Vilas Jagannath, Yun Young Lee, Brett Daniel, Dark...
We describe a bidirectional framework for natural language parsing and generation, using a typedfeatureformalismand an HPSG-based grammar with a parser and generator derived from ...