Scala 2016
Sun 30 - Mon 31 October 2016 Amsterdam, Netherlands
co-located with SPLASH 2016

DynaML is an open source library written in the Scala programming language, targeted towards machine learning researchers and practitioners.

The aim is to build a robust set of abstract classes and interfaces, which can be extended easily to implement advanced models for small and large scale applications.

DynaML has a highly modular package structure and leverages many features of the Scala programming language such as generic types, tail recursion, etc.

Currently implementations of models such as least squares support vector machines, feed forward neural networks, gaussian processes are available along with optimization solvers such as conjugate gradient, quasi-newton (BFGS), back-propagation etc.

Furthermore, DynaML has a lightweight data pipes library which enables the creation and composition of reproducible data processing workflows.

Mon 31 Oct

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

10:30 - 12:10
Reactive, Concurrent, Distributed Computation | ParsingScala at Matterhorn 2
Chair(s): Sébastien Doeraene EPFL, Switzerland
10:30
25m
Talk
Practical Aggregate Programming in Scala
Scala
Roberto Casadei University of Bologna, Italy
Media Attached
10:55
25m
Talk
DynaML: A Scala machine learning environment
Scala
Mandar Chandorkar Centrum Wiskunde & Informatica
11:20
25m
Talk
Scala-Gopher: CSP-style programming techniques with idiomatic Scala.
Scala
Media Attached
11:45
25m
Talk
Reactive Async: Expressive Deterministic Concurrency
Scala
Philipp Haller KTH Royal Institute of Technology, Simon Geries KTH Royal Institute of Technology, Sweden, Michael Eichberg TU Darmstadt, Germany, Guido Salvaneschi TU Darmstadt, Germany
DOI Pre-print Media Attached