In this paper, we present an algorithm for learning a generative model of natural language sentences together with their formal meaning representations with hierarchical structure...
Wei Lu, Hwee Tou Ng, Wee Sun Lee, Luke S. Zettlemo...
Virtual neurons are essential in computational neuroscience to study the relation between neuronal form and function. One way of obtaining virtual neurons is by algorithmic genera...
Central pattern generators (CPGs) have traditionally been modeled as sets of coupled bistable oscillators [2]. We present a framework for constructing models which avoid the short...
To evaluate the performance of database applications and DBMSs, we usually execute workloads of queries on generated databases of different sizes and measure the response time. Th...
Test suite augmentation techniques are used in regression testing to identify code elements affected by changes and to generate test cases to cover those elements. Our preliminary...
Zhihong Xu, Yunho Kim, Moonzoo Kim, Gregg Rotherme...