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Probabilistic methods and randomized algorithms
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Noise benefits in expectation-maximization algorithms
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Speeding up distributed constraint optimization search algorithms
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Distributed algorithms for source localization using quantized sensor readings
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Online learning algorithms for network optimization with unknown variables
Algorithm development for modeling protein assemblies
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Algorithmic aspects of energy efficient transmission in multihop cooperative wireless networks
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De novo peptide sequencing and spectral alignment algorithm via tandem mass spectrometry
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Models and algorithms for energy efficient wireless sensor networks
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Improving machine learning algorithms via efficient data relevance discovery
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Robust real-time algorithms for processing data from oil and gas facilities
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Algorithmic aspects of throughput-delay performance for fast data collection in wireless sensor networks
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Multi-softcore architectures and algorithms for a class of sparse computations
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Metascalable hybrid message-passing and multithreading algorithms for n-tuple computation
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Enchanted algorithms: the quantification of organizational decision-making
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Addressing uncertainty in Stackelberg games for security: models and algorithms
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Mocap data compression: algorithms and performance evaluation
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Compression algorithms for distributed classification with applications to distributed speech recognition
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Reduction of large set data transmission using algorithmically corrected model-based techniques for bandwidth efficiency
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Too many needles in this haystack: algorithms for the analysis of next generation sequence data
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Architectures and algorithms of charge management and thermal control for energy storage systems and mobile devices
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Developing statistical and algorithmic methods for shotgun metagenomics and time series analysis
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Exploiting comparable corpora
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Supervised learning algorithms on factors impacting retweet
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