We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
Many context- and location-aware applications request high accuracy and availability of positioning systems. In reality however, knowledge about the current position may be incompl...
We define a general notion of a fragment within higher order type theory; a procedure for constraint satisfiability in combined fragments is outlined, following Nelson-Oppen sche...
In functional programming, intermediate data structures are often used to “glue’) together small programs. Deforestation is a program transformation to remove these intermedia...
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...