… Bill Lorensen chose three volume data sets to represent a variety of challenges for the
bake-off. Figures 1 through 3 show marching-cube isosurface renderings of the data for …

… Firstly, the algorithm must have been published post bake off in a high … this bake off in
Section 4. This section also describes the first set of experiments that link to the previous bake off: …

In the last 5 years there have been a large number of new time series classification algorithms
proposed in the literature. These algorithms have been evaluated on subsets of the 47 …

Time Series Classification (TSC) involves building predictive models for a discrete target
variable from ordered, real valued, attributes. Over recent years, a new set of TSC algorithms …

… -soluble fiber blend) was tested in partially baked breads stored either under sub-zero or
low temperatures, in order to assess their possible role as breadmaking ingredients in bake off …

… Quality parameters that characterize bread crust and crumb were determined by instrumental
methods in nine different (regarding to formulation and bake off duration) bread types …

Contextual bandit algorithms are essential for solving many real-world interactive machine
learning problems. Despite multiple recent successes on statistically optimal and …

… Spelling Check task at SIGHAN Bake-off 2013. We describe all … This bake-off contains two
subtasks, ie, error detection and error … Therefore, in this bake-off, we adopt the numbers of …

Whole-grain wheat flour was utilized in a frozen bread dough system and its functional and
baking performances were characterized for bake off applications. Whole-grain wheat flour …

… Previous literature has attempted to identify a ‘superior’ method using limited samples
and populations, where we provide robust comparisons, in a ‘bake-off’ approach, pitting …