This work extends the Particle Swarm Optimization (PSO) algorithm for working on dynamic environments. We propose an evaporation mechanism to solve the outdated memory problem. We...
■ Recent work showed that short-term memory (STM) is selectively reduced in GluR1 knockout mice. This raises the possibility that a form of synaptic modification dependent on Gl...
Martha A. Erickson, Lauren A. Maramara, John Lisma...
Transactional memory (TM) is a promising paradigm for concurrent programming. This paper is an overview of our recent theoretical work on defining a theory of TM. We first recall s...
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Technology scaling has offered advantages to embedded systems, such as increased performance, more available memory and reduced energy consumption. However, scaling also brings a...