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GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
15 years 5 months ago
Informative sampling for large unbalanced data sets
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...
ICFP
2010
ACM
15 years 5 months ago
Logical types for untyped languages
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...
Sam Tobin-Hochstadt, Matthias Felleisen
ICML
2010
IEEE
15 years 5 months ago
Projection Penalties: Dimension Reduction without Loss
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...
Yi Zhang 0010, Jeff Schneider
APLAS
2010
ACM
15 years 4 months ago
JNI Light: An Operational Model for the Core JNI
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...
Gang Tan
ASUNAM
2010
IEEE
15 years 4 months ago
Product Adoption Networks and Their Growth in a Large Mobile Phone Network
—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...
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