This paper illustrates the use of a post-mortem call-graph profiling tool in the analysis of an SQL query processing application written using BSPIib [4]. Unlike other parallel pro...
Jonathan M. D. Hill, Stephen A. Jarvis, Constantin...
This work proposes a learning method for deep architectures that takes advantage of sequential data, in particular from the temporal coherence that naturally exists in unlabeled v...
A fundamental assumption often made in supervised classification is that the problem is static, i.e. the description of the classes does not change with time. However many practi...
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Previous bias shift approaches to predicate invention are not applicable to learning from positive examples only, if a complete hypothesis can be found in the given language, as ne...