This course will incorporate knowledge and skills covered in a statistical curriculum with topics and projects in data science.
Because of the complexity of coupled systems it is important to incorporate knowledge of kinetics at the earliest stages of process development.
Second and third generation therapeutic strategies increasingly incorporate knowledge of cancer type-specific signaling environments, in a more personalized treatment approach.
The study tries to incorporate knowledge that can be used for designing the degradation process of the functional coatings and to control their properties in short times.
A growing number of executives running N.B.A. franchises incorporate knowledge about what happens on the basketball court and in the courtroom, while others bring advanced college degrees to their work.
As technology and the network economy drive businesses to compete under continuously accelerating rates of change in technology, business leaders must incorporate knowledge management and learning into their organization's activities in ways that support and propel their business goals.
While we incorporate knowledge about molecular advances, this is not intended to be an extensive review of that field, but rather, we focus on how those systems inform plant physiology and are connected to global scales.
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradient-based learning.
These ERNs will facilitate creation of large databases of rare tumours that will incorporate knowledge of their molecular features and build an evidence base for the effectiveness of innovative, biology-directed therapies.
In addition, we show how to incorporate knowledge of the traffic load, and we devise approximation algorithms to control the sleep/wake-up cycling to provide maximum energy conservation while discovering enough communication opportunities to handle that load.
There has been much interest in applying techniques that incorporate knowledge from unlabelled data into a supervised learning system but less effort has been made to compare the effectiveness of different approaches and to analyse the behaviour of the learning system when using different ratios of labelled to unlabelled data.
