5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.DB2018★ 5 cited
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML
Matthias Boehm, Berthold Reinwald, Dylan Hutchison +2
Many large-scale machine learning (ML) systems allow specifying custom ML algorithms by means of linear algebra programs, and then automatically generate efficient execution plans.…
cs.DB2016
Declarative Machine Learning - A Classification of Basic Properties and Types
Matthias Boehm, Alexandre V. Evfimievski, Niketan Pansare +1
Declarative machine learning (ML) aims at the high-level specification of ML tasks or algorithms, and automatic generation of optimized execution plans from these specifications. T…