Abstract.) Ying Xu, Richard J. MuraF, and Edward C. Uberbacher Computer Science and Mathematics Division and tLife Sciences Division Computational methods for gene identification ...
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
The state of the practice in object-oriented software development has moved beyond reuse of code to reuse of conceptual structures such as design patterns. This paper draws attenti...
A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. Detailed simulations can help identify...
Basile Schaeli, Sebastian Gerlach, Roger D. Hersch