ERIC - Search Results

Descriptor

Computation	2
Markov Processes	2
Algebra	1
Equations (Mathematics)	1
Functions (Mathematics)	1
Higher Education	1
Mathematical Applications	1
Mathematical Concepts	1
Mathematical Models	1
Mathematics	1
Mathematics Instruction	1
Probability	1
More ▼

Source

International Journal of…

Author

Chae, K. C.	1
Ching, Wai-Ki	1
Lee, H. W.	1
Ng, Michael K.	1

Publication Type

Journal Articles	2
Reports - Descriptive	2
Numerical/Quantitative Data	1

Education Level

Audience

Location

Laws, Policies, & Programs

Assessments and Surveys

What Works Clearinghouse Rating

Showing all 2 results Save | Export

Building Simple Hidden Markov Models. Classroom Notes

Peer reviewed

Direct link

Ching, Wai-Ki; Ng, Michael K. – International Journal of Mathematical Education in Science and Technology, 2004

Hidden Markov models (HMMs) are widely used in bioinformatics, speech recognition and many other areas. This note presents HMMs via the framework of classical Markov chain models. A simple example is given to illustrate the model. An estimation method for the transition probabilities of the hidden states is also discussed.

Descriptors: Markov Processes, Probability, Mathematical Models, Computation

On the Random Sum with a Stopping Rule SN.

Peer reviewed

Chae, K. C.; Lee, H. W. – International Journal of Mathematical Education in Science and Technology, 1997

Considers the random sum SN+X1+X2+...+XN with a stopping rule N=min((n: SN absorbing Markov chain. (AIM)

Descriptors: Algebra, Computation, Equations (Mathematics), Functions (Mathematics)