Classification of the short-chain dehydrogenase/reductase superfamily using hidden Markov models
نویسندگان
چکیده
منابع مشابه
analysis of ruin probability for insurance companies using markov chain
در این پایان نامه نشان داده ایم که چگونه می توان مدل ریسک بیمه ای اسپیرر اندرسون را به کمک زنجیره های مارکوف تعریف کرد. سپس به کمک روش های آنالیز ماتریسی احتمال برشکستگی ، میزان مازاد در هنگام برشکستگی و میزان کسری بودجه در زمان وقوع برشکستگی را محاسبه کرده ایم. هدف ما در این پایان نامه بسیار محاسباتی و کاربردی تر از روش های است که در گذشته برای محاسبه این احتمال ارائه شده است. در ابتدا ما نشا...
15 صفحه اولFolk Music Classification Using Hidden Markov Models
Automatic music classification is essential for implementing efficient music information retrieval systems; meanwhile, it may shed light on the process of human’s music perception. This paper describes our work on the classification of folk music from different countries based on their monophonic melodies using hidden Markov models. Music corpora of Irish, German and Austrian folk music in vari...
متن کاملLand Cover Classification Using Hidden Markov Models
This paper, proposed a classification approach that utilizes the high recognition ability of Hidden Markov Models (HMM s) to perform high accuracy of classification by exploiting the spatial inter pixels dependencies ( i.e. the context ) as well as the spectral information. Applying unsupervised classification to remote sensing images can provide benefits in converting the raw image data into u...
متن کاملInstrument classification using Hidden Markov Models
In this paper we present first results on musical instrument classification using an HMM based recognizer. The final goal of our work is to automatically evaluate instruments and to classify them according to their characteristics. The first step in this direction was to train a system that is able to recognize a particular instrument among others of the same kind (e.g. guitars). The recognitio...
متن کاملMMOG Player Classification Using Hidden Markov Models
In this paper, we describe our work on classification of players in Massively Multiplayer Online Games using Hidden Markov Models based on player action sequences. In our previous work, we have discussed a classification approach using a variant of Memory Based Reasoning based on player action frequencies. That approach, however, does not exploit time structures hidden in action sequences of th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: FEBS Journal
سال: 2010
ISSN: 1742-464X
DOI: 10.1111/j.1742-4658.2010.07656.x