The restoration of a hidden process X from an observed process Y is often performed in the framework of hidden Markov chains (HMC). HMC have been recently generalized to triplet Markov chains (TMC). In the TMC model one introduces a third random chain U and assumes that the triplet T = (X,U, Y ) is a Markov chain (MC). TMC generalize HMC but still enable the development of efficient Bayesian al...

software architecture is considered one of the most important indices of software engineering today. software architecture is a technical description of a system indicating its component structures and their relationships, and is the principles and rules governing designing. the success of the software depends on whether the system can satisfy the quality attributes. one of the most critical as...

The aim of this study is to explore the usefulness of hidden Markov models for lithological classification of geophysical measurements in boreholes. Standard statistical methods like linear and quadratic discriminant or cluster analysis treat the individual measurement points of well logs as independent samples of the underlying distribution. With hidden Markov models (HMM) the knowledge of sta...

This paper details the development and evaluation of AstonTAC, an energy broker that successfully participated in the 2012 Power Trading Agent Competition (Power TAC). AstonTAC buys electrical energy from the wholesale market and sells it in the retail market. The main focus of the paper is on the broker’s bidding strategy in the wholesale market. In particular, it employs Markov Decision Proce...

Two statistical downscaling models, the non-homogeneous hidden Markov model (NHMM) and the Statistical Down–Scaling Model (SDSM) were used to generate future scenarios of both mean and extremes in the Tarim River basin,which were based on nine combined scenarios including three general circulation models (GCMs) (CSIRO30, ECHAM5,and GFDL21) predictor sets and three special report on emission sce...