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We describe a system that attempts to predict the continuation of a symbolically encoded tabla composition at each time step using a variable-length n-gram model. Using cross-entropy as a measure of model fit, the best model attained an entropy rate of 0.780 in a cross-validation experiment , showing that symbolic tabla compositions can be effectively(More)
A mixed media tool was created that promotes ensemble virtuosity through tight coordination and interdepence in musical performance. Two different types of performers interact with a virtual space using Wii remote and tangible interfaces using the reacTIVision toolkit [11]. One group of performers uses a tangible tabletop interface to place and move sound(More)
We describe a realtime tabla generation system based on a variable-length <i>n</i>-gram model trained on a large symbolic tabla database. A novel, parametric smoothing algorithm based on a family of exponential curves is introduced to control the relative weight of high- and low-order models. This technique is shown to lead to improvements over a back-off(More)
BACKGROUND The Unified Medical Language System (UMLS) contains many important ontologies in which terms are connected by semantic relations. For many studies on the relationships between biomedical concepts, the use of transitively associated information from ontologies and the UMLS has been shown to be effective. Although there are a few tools and methods(More)
Efficiently mining multiple drug interactions and reactions from Adverse Event Reporting System (AERS) is a challenging problem which has not been sufficiently addressed by existing methods. To tackle this challenge, we propose a FCI-fliter approach which leverages the efforts of UMLS mapping, frequent closed itemset mining, and uninformative association(More)
In this paper, we connect local properties in a mobile planar multi-robot team to the task of creating decentralized real time algorithmic music. Using a nonlinear formation control law inspired by the consensus equation, we map the local motion parameters of robots to Euclidean rhythms with the use of sequencers. The control parameters allow a human user(More)
Studies on SNP correlations have been focused on SNPs located on the same chromosome since SNPs on different chromosomes are expected to segregate randomly. Previous studies suggest that SNPs can be associated with each other over long distances and even across different chromosomes. To facilitate the study of SNP associations, our goal is to find SNPs that(More)