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Bayesian belief nets (BNs) are often used for classification tasks -- typically to return the most likely "class label" for each specified instance. Many BN-learners, however, attempt to find the BN that maximizes a different objective function (viz., likelihood, rather than classification accuracy), typically by first learning an appropriate graphical(More)
AMPA-type glutamate receptors (GluRs) mediate most excitatory signaling in the brain and are composed of GluR principal subunits and transmembrane AMPA receptor regulatory protein (TARP) auxiliary subunits. Previous studies identified four mammalian TARPs, gamma-2 (or stargazin), gamma-3, gamma-4, and gamma-8, that control AMPA receptor trafficking, gating,(More)
This paper presents a study of incorporating domain-specific knowledge (i.e., information about concepts and relationships between concepts in a certain domain) in an information retrieval (IR) system to improve its effectiveness in retrieving biomedical literature. The effects of different types of domain-specific knowledge in performance contribution are(More)
MOTIVATION Abbreviations are an important type of terminology in the biomedical domain. Although several groups have already created databases of biomedical abbreviations, these are either not public, or are not comprehensive, or focus exclusively on acronym-type abbreviations. We have created another abbreviation database, ADAM, which covers commonly used(More)
A novel force/torque control actuator called Series Damper Actuator (SDA) is proposed, modeled and analyzed. Compared to conventional force/torque control schemes and Series Elastic Actuator (SEA), SDA has good output force/torque fidelity, low output impedance and large force/torque range. Furthermore, varying damping coefficient endows the SDA with more(More)