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Leto: 2003 Vir: videolectures.net
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The ability to recognize human activities from sensory information is essential for developing the next generation of smart devices. Many human activity recognition tasks are from a machine learning perspective quite similar to tagging tasks in natural language processing. Motivated by this similari ...
Leto: 2007 Vir: videolectures.net
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Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by assuming that the observed data stems from multiple hidden processes, whose outputs interleave to form the sequence of obse ...
Leto: 2008 Vir: videolectures.net
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Oznake: computer science;machine learning;markov processes
Analysis of genetic variation in human populations is critical to the understanding of the genetic basis for complex diseases. Although genomes of several species have been sequenced, it is still too expensive to sequence genomes of several individuals to analyze genetic variation. Furthermore, most ...
Leto: 2006 Vir: videolectures.net
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Artificial intelligence aims at developing agents that learn and act in complex environments. Realistic environments typically feature a variable number of objects, relations amongst them, and non-deterministic transition behavior. Standard probabilistic sequence models provide efficient inference a ...
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 5
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