We propose a general framework for support vector machines (SVM) based on the principle of multi-objective optimization. The learning of SVMs is formulated as a multiobjective pro...
— We come up with novel quantized averaging algorithms on synchronous and asynchronous communication networks with fixed, switching and random topologies. The implementation of ...
—We consider connection-level models of resource allocation in the Internet, where files arrive into the network according to a Poisson process and the size of each file is exp...
We discuss the problem of scheduling tasks that consume uncertain amounts of a resource with known capacity and where the tasks have uncertain utility. In these circumstances, we w...
We discuss the issue of reliable transmission of bounded streams of data samples over simple wireless channels offered by low-end RF modules. Traditional solutions, i.e., window-b...