Sciweavers

223 search results - page 16 / 45
» New methods and coverage metrics for functional verification
Sort
View
NIPS
2008
13 years 10 months ago
Online Metric Learning and Fast Similarity Search
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...
Prateek Jain, Brian Kulis, Inderjit S. Dhillon, Kr...
VSTTE
2010
Springer
13 years 6 months ago
Dafny Meets the Verification Benchmarks Challenge
A suite of verification benchmarks for software verification tools and techniques, presented at VSTTE 2008 [11], provides an initial catalogue of benchmark challenges for the Verif...
K. Rustan M. Leino, Rosemary Monahan
TNN
2011
132views more  TNN 2011»
13 years 3 months ago
Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals
—Prediction intervals (PIs) have been proposed in the literature to provide more information by quantifying the level of uncertainty associated to the point forecasts. Traditiona...
Abbas Khosravi, Saeid Nahavandi, Douglas C. Creigh...
JMLR
2012
11 years 11 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
MP
2007
89views more  MP 2007»
13 years 8 months ago
Globally convergent limited memory bundle method for large-scale nonsmooth optimization
Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable) functions of thousands of variables. In the paper [Haarala, Miettinen, M¨akel¨a,...
Napsu Haarala, Kaisa Miettinen, Marko M. Mäke...