We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Memoization is a well-known optimization technique used to eliminate redundant calls for pure functions. If a call to a function f with argument v yields result r, a subsequent ca...
Lukasz Ziarek, K. C. Sivaramakrishnan, Suresh Jaga...
—Active learning can actively select or construct examples to label to reduce the number of labeled examples needed for building accurate classifiers. However, previous works of...
Many machine learning algorithms require the summation of Gaussian kernel
functions, an expensive operation if implemented straightforwardly. Several methods
have been proposed t...
Vlad I. Morariu1, Balaji V. Srinivasan, Vikas C. R...
—Automated debugging is becoming increasingly important as the size and complexity of software increases. This paper makes a case for using constraint-based data structure repair...
Muhammad Zubair Malik, Khalid Ghori, Bassem Elkara...