We propose a novel extraction approach that exploits content redundancy on the web to extract structured data from template-based web sites. We start by populating a seed database...
Pankaj Gulhane, Rajeev Rastogi, Srinivasan H. Seng...
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Multi-objective optimization is concerned with problems involving multiple measures of performance which should be optimized simultaneously. In this paper, we extend AND/OR Branch-...
Abstract. We present first ideas on how results about qualitative spatial reasoning can be exploited in reasoning about action and change. Current work concentrates on a line segm...
We introduce a framework for studying and solving a class of CSP formulations. The framework allows constraints to be expressed as linear and nonlinear equations, then compiles th...