منابع مشابه
Multitask Multiple Kernel Learning
We present a general regularization-based framework for Multi-task learning (MTL), in which the similarity between tasks can be learned or refined using `pnorm Multiple Kernel learning (MKL). Based on this very general formulation (including a general loss function), we derive the corresponding dual formulation using Fenchel duality applied to Hermitian matrices. We show that numerous establish...
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D’nia is a real-time system and cross-development environment based on Oberon. It is used for the programming and control of embedded, mechatronic systems. Until now, it was available for various VME boards based on the MC680x0 processor. The main goal of this work was the development of a real-time kernel for the PowerPC family of RISC processors, allowing D’nia to run on this new hardware. Th...
متن کاملThe Asterix real-time kernel
This paper describes a real-time kernel, Asterix, that in a practical manner makes use of many of the recent advances made in the real-time systems research community. The basic ambition behind the development of the Asterix real-time kernel was to pack state-of the art research results into package such that it can be easily used and understood by people in the embedded systems industry. From ...
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Current real-time kernels present inadequate, incomplete, and missing functionality in their interfaces. As a result of these poor interfaces, real-time systems are diicult to design, maintain, analyze, and understand. Here, I present examples of the poor interfaces and suggest improvements for scheduling, memory management, and interprocess communication. Basically , I am suggesting a need for...
متن کاملMultitask Learning Using Regularized Multiple Kernel Learning
Empirical success of kernel-based learning algorithms is very much dependent on the kernel function used. Instead of using a single fixed kernel function, multiple kernel learning (MKL) algorithms learn a combination of different kernel functions in order to obtain a similarity measure that better matches the underlying problem. We study multitask learning (MTL) problems and formulate a novel M...
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ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2008
ISSN: 1812-5654
DOI: 10.3923/jas.2008.3083.3095