Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
Zhenyu Lu, Anand I. Rughani, Bruce I. Tranmer, Jos...
Programmers reason about their programs using a wide variety of formal and informal methods. Programmers in untyped languages such as Scheme or Erlang are able to use any such met...
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Abstract. Through foreign function interfaces (FFIs), software components in different programming languages interact with each other in the same address space. Recent years have w...
—To understand the diffusive spreading of a product in a telecom network, whether the product is a service, handset, or subscription, it can be very useful to study the structure...
Pal Roe Sundsoy, Johannes Bjelland, Geoffrey Canri...