Scaling Kernel-Based Systems to Large Data Sets
... For the support vector machine, the dual optimization problem requires the solution of a quadratic programming (QP) problem with linear constraints. Due to the large dimension of the optimization problem, general QP routines are unsuitable even for relatively small problems (a few hundred data point ...
... For the support vector machine, the dual optimization problem requires the solution of a quadratic programming (QP) problem with linear constraints. Due to the large dimension of the optimization problem, general QP routines are unsuitable even for relatively small problems (a few hundred data point ...
BUILDING GRANULARITY IN HIGHLY ABSTRACT PARALLEL
... an abstract machine providing certain operations to the programming level above and requiring implementations for each of these operations on all of the architectures below. It is designed to separate software-development concerns from effective parallel-execution concerns and provides both abstract ...
... an abstract machine providing certain operations to the programming level above and requiring implementations for each of these operations on all of the architectures below. It is designed to separate software-development concerns from effective parallel-execution concerns and provides both abstract ...
Lecture 1 part a - School of Computing
... Object-oriented programming may be seen as a collection of cooperating objects, as opposed to a traditional view in which a program may be seen as a group of tasks to compute ("subroutines"). In OOP, each object is capable of receiving messages, processing data, and sending messages to other objects ...
... Object-oriented programming may be seen as a collection of cooperating objects, as opposed to a traditional view in which a program may be seen as a group of tasks to compute ("subroutines"). In OOP, each object is capable of receiving messages, processing data, and sending messages to other objects ...
Solving a Big-Data Problem with GPU: The Network Traffic Analysis
... appropriate decisions, which it could help us to improve the performance. It is easy to see the computational complexity for solving each of the tasks involved in each previous stages, not only respect to hardware resources, but also the time involved in obtaining each answer. A good network perform ...
... appropriate decisions, which it could help us to improve the performance. It is easy to see the computational complexity for solving each of the tasks involved in each previous stages, not only respect to hardware resources, but also the time involved in obtaining each answer. A good network perform ...