We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
Taylor Berg-Kirkpatrick, Alexandre Bouchard-C&ocir...
We describe a case study in tit(', application of symbolic machinc learning techniques for the discow;ry of linguistic rules and categories. A supervised rule induction algor...
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
e type system for the lmdElulus enrihed with reurE sive nd oreursive funtions over equiEindutive nd Eoindutive types is presented in whih ll wel...
Informal conversations occur all day long among employees. These conversations allow employees to share experience such as innovative ideas for performing a task. Internalizing th...
Lori Baker-Eveleth, Suprateek Sarker, Daniel M. Ev...