This paper proposes an indirect branch predictor based on neural learning. Neural-based conditional branch predictors have been among the most accurate in the literature, so it makes sense to adapt them to the indirect branch prediction problem. However, it is not clear how to use a predictor optimized to produce a true/false output for a problem requiring the prediction of a branch target. My ...

Differences in patient characteristics across trials may bias efficacy estimates from indirect treatment comparisons. To address this issue, matching-adjusted indirect comparison (MAIC) measures treatment efficacy after weighting individual patient data to match patient characteristics across trials. To date, however, there is no consensus on how best to implement MAIC. To address this issue, w...

Regional Dependencies in Job Creation: An Efficiency Analysis for Western Germany This paper investigates the efficiency of the matching process between job seekers and vacancy posting firms in West-Germany, using variation across labor market regions and across time. The results of a stochastic frontier analysis shed new light on extent and regional differences of search frictions, on potentia...

ontology is the main infrastructure of the semantic web which provides facilities for integration, searching and sharing of information on the web. development of ontologies as the basis of semantic web and their heterogeneities have led to the existence of ontology matching. by emerging large-scale ontologies in real domain, the ontology matching systems faced with some problem like memory con...