Background: DNA instability profiles have been used recently for predicting the transcriptional start site and the location of core promoters, and to gain insight into promoter ac...
Miriam R. Kantorovitz, Zoi Rapti, Vladimir Gelev, ...
Block joinpoints allow programmers to explicitly mark regions of base code as “to be advised”, thus avoiding the need to extract the block into a method just for the sake of c...
Most existing work uses dual decomposition and subgradient methods to solve Network Utility Maximization (NUM) problems in a distributed manner, which suffer from slow rate of con...
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...