Markov modeling of daily rainfalls in Ankara.

Akşit, Ahmet Ali


Markov switching cointegration approach to modeling target zone behavior of the exchange rates with an application to FF/DM exchange rate
Gürgenci, Zerrin; Erlat, Haluk; Department of Economics (1999)
Markov random field based road network extraction from high resolution satellite images
Öztürk, Mahir; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2013)
Road Networks play an important role in various applications such as urban and rural planning, infrastructure planning, transportation management, vehicle navigation. Extraction of Roads from Remote Sensed satellite images for updating road database in geographical information systems (GIS) is generally done manually by a human operator. However, manual extraction of roads is time consuming and labor intensive process. In the existing literature, there are a great number of researches published for the purp...
Markov decision processes with rest ricted observations.
Avşar, Zeynep Müge; Department of Industrial Engineering (1992)
Markov Decision Processes Based Optimal Control Policies for Probabilistic Boolean Networks
Abul, Osman; Alhajj, Reda; Polat, Faruk (2004-06-01)
This paper addresses the control formulation process for probabilistic boolean genetic networks. It is a major problem that has not been investigated enough yet. We argue that a monitoring stage is necessary after the control stage for providing guidance about the evolution of the investigated state. For this purpose, we developed methods for generating optimal control policies for each of the following five cases: finite control, infinite control, finite control-infinite monitoring, finite control-finite m...
Markov decision processes under observability constraints
Serin, Yaşar Yasemin (Springer Science and Business Media LLC, 2005-06-01)
We develop an algorithm to compute optimal policies for Markov decision processes subject to constraints that result from some observability restrictions on the process. We assume that the state of the Markov process is unobservable. There is an observable process related to the unobservable state. So, we want to find a decision rule depending only on this observable process. The objective is to minimize the expected average cost over an infinite horizon. We also analyze the possibility of performing observ...
Citation Formats
A. A. Akşit, “Markov modeling of daily rainfalls in Ankara.,” Middle East Technical University, 1976.