Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
Benjamin Marlin, Kevin Swersky, Bo Chen, Nando de ...
Reliable estimation of the classification performance of learned predictive models is difficult, when working in the small sample setting. When dealing with biological data it is ...
Antti Airola, Tapio Pahikkala, Willem Waegeman, Be...
Constructions of cryptographic primitives based on general assumptions (e.g., one-way functions) tend to be less efficient than constructions based on specific (e.g., number-theor...
The annotation of the results of database transformations was shown to be very effective for various applications. Until recently, most works in this context focused on positive q...
Social network analysis has recently gained a lot of interest because of the advent and the increasing popularity of social media, such as blogs, social networks, microblogging, o...
Iraklis Varlamis, Magdalini Eirinaki, Malamati D. ...