diploma.bib

@book{book:Bishop,
  title      = {Pattern Recognition and Machine Learning (Information Science and Statistics)},
  author     = {Christopher Bishop},
  lccn       = {ISBN 0387310738},
  url        = {http://www.ozon.ru/context/detail/id/2978313/},
  year       = {2007},
  publisher  = {Springer},
  eprint     = {http://www.ozon.ru/context/detail/id/2978313/},
  eprinttype = {Ozon Books}
}
@book{saturday_is_monday,
  author    = "Стругацкий, А.Н. and Стругацкий, Б.Н.",
  title     = "Понедельник начинается в субботу",
  address   = "М.",
  editor    = "Иванов",
  publisher = "Детская литература",
  year      = 1965,
  language  = "russian"
}
@book{book:murphy,
  title      = {Machine Learning: A Probabilistic Perspective},
  author     = {Kevin P. Murphy},
  lccn       = {ISBN-13: 978-0262018029},
  series     = {Adaptive Computation and Machine Learning series},
  url        = {http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020},
  year       = {2012},
  publisher  = {MIT Press},
  eprint     = {http://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp/0262018020},
  eprinttype = {Amazon Books}
}
@online{wiki:fdr,
  author       = "Wikipedia",
  title        = "False discovery rate",
  howpublished = "Wikipedia, the free encyclopedia",
  year         = 2012,
  url          = {http://en.wikipedia.org/wiki/False_discovery_rate},
  urldate      = "15.05.2015",
  language     = "english"
}
@online{wiki:logsumexp,
  author       = "Ryan Adams",
  title        = "Computing Log-Sum-Exp",
  howpublished = "Building Intelligent Probabilistic Systems Machine learning, statistics, neuroscience, everything...",
  year         = 2012,
  url          = {https://hips.seas.harvard.edu/blog/2013/01/09/computing-log-sum-exp/},
  urldate      = "09.01.2013",
  language     = "english"
}
@online{wiki:voron,
  author       = "К.В.Воронцов",
  title        = "Машинное обучение (курс лекций)",
  howpublished = "Байесовская теория классификации - Принцип максимума апостериорной вероятности",
  year         = 2009,
  url          = {http://www.machinelearning.ru/wiki},
  urldate      = "13.04.2015",
  language     = "russian"
}
@book{book:flach,
  title      = {Machine Learning
The Art and Science of Algorithms that Make Sense of Data},
  author     = {Peter Flach},
  lccn       = {9781107422223},
  series     = {Adaptive Computation and Machine Learning series},
  url        = {http://www.cambridge.org/us/academic/subjects/computer-science/pattern-recognition-and-machine-learning/machine-learning-art-and-science-algorithms-make-sense-data},
  year       = {2012},
  publisher  = {Cambridge University Press},
  eprint     = {http://www.cambridge.org/us/academic/subjects/computer-science/pattern-recognition-and-machine-learning/machine-learning-art-and-science-algorithms-make-sense-data},
  eprinttype = {Cambridge books}
}
@online{article:rabiner,
  author       = "Lawrence R. Rabiner",
  title        = "A tutorial on hidden Markov models and selected applications in Speech Recognition",
  year         = 2012,
  url          = {http://www.ece.ucsb.edu/Faculty/Rabiner/ece259/Reprints/tutorial on hmm and applications.pdf},
  urldate      = "1989",
  language     = "english"
}