In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh
We present CSTutor, a sketch-based interface designed to help students understand data structures. It currently supports Linked Lists, Binary Search Trees, AVL Trees, and Heaps, a...
Sarah Buchanan, Brandon Ochs, Joseph J. LaViola Jr...
All existing proposals for querying XML (e.g., XQuery) rely on a pattern-specification language that allows (1) path navigation and branching through the label structure of the XM...
The paper introduces some generalizations of Vapnik’s method of structural risk minimisation (SRM). As well as making explicit some of the details on SRM, it provides a result t...
John Shawe-Taylor, Peter L. Bartlett, Robert C. Wi...
We describe an approach for incorporating randomization in the teaching of data structures and algorithms. The proofs we include are quite simple and can easily