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The Together class is a series of five container ships built for Danaos Corporation and operated by HMM. [1] The ships have a maximum theoretical capacity of 13,082 TEU . [ 2 ] The ships were built by Hyundai Samho Heavy Industries in South Korea.
Figure 1. Probabilistic parameters of a hidden Markov model (example) X — states y — possible observations a — state transition probabilities b — output probabilities. In its discrete form, a hidden Markov process can be visualized as a generalization of the urn problem with replacement (where each item from the urn is returned to the original urn before the next step). [7]
Demurrage" / d ɪ ˈ m ʌ r ɪ dʒ / [1] in vessel chartering is the period when the charterer remained in possession of the vessel after the period normally allowed to load and unload cargo . [2] By extension, demurrage refers to the charges that the charterer pays to the ship owner for its delayed operations of loading/unloading. [ 3 ]
If the charterer's delay means that laytime is exceeded, a predetermined penalty (i.e. liquidated damages) called "demurrage" is incurred. [5] [6] If the whole period of laytime is not needed, a refund called "despatch" may be payable by the shipowner to the charterer.
The forward algorithm, in the context of a hidden Markov model (HMM), is used to calculate a 'belief state': the probability of a state at a certain time, given the history of evidence. The process is also known as filtering .
The Dream class is a series of five container ships built for HMM. The ships have a maximum theoretical capacity of 13,154 TEU . [ 1 ] The ships were built by Daewoo Shipbuilding and Marine Engineering in South Korea.
UPS Ground: UPS urges customers to check its website and use their time and cost calculator because deadlines may vary depending on where you are shipping the item. Expedited shipping deadlines.
The hierarchical hidden Markov model (HHMM) is a statistical model derived from the hidden Markov model (HMM). In an HHMM, each state is considered to be a self-contained probabilistic model. More precisely, each state of the HHMM is itself an HHMM. HHMMs and HMMs are useful in many fields, including pattern recognition. [1] [2]