In a Markov decision problem with hidden state variables, a posterior distribution serves as a state variable and Bayes’ law under an approximating model gives its law of motion. A decision maker expresses fear that his model is misspecified by surrounding it with a set of alternatives that are nearby when measured by their expected log likelihood ratios (entropies). Martingales represent alter...

the rapid growing of information technology (it) motivates and makes competitive advantages in health care industry. nowadays, many hospitals try to build a successful customer relationship management (crm) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. many hospitals have large data warehouses containing customer ...

We are writing this letter to draw the attention of the faculty members of medical universities to the formation of professional ethics and professionalism in the clinical and theoretical education of nursing and operating room students using the hidden curriculum. Professional values are standards for clinical practice, which are based on the agreement of professional groups and experts. Thes...

Data sharing between two organizations is common in many application areas e.g. business planing or marketing. Useful global patterns can be discovered from the integrated dataset. However, some sensitive patterns that should have been kept private could also be discovered. In general, disclosure of sensitive patterns could decrease the competitive ability of the data owner. Therefore, sensitiv...

In this article, we perform a systematic study of the mass spectrum of the vector hidden charm and bottom tetraquark states using the QCD sum rules. PACS number: 12.39.Mk, 12.38.Lg

Association Rule play very important role in recent scenario of data mining. But we have only generated positive rule, negative rule also useful in today data mining task. In this paper we are proposing “A new method for generating all positive and negative Association Rules” (NRGA).NRGA generates all association rules which are hidden when we have applied Apriori Algorithm. For representation ...

'Data Mining' is a way of extracting data or uncovering hidden patterns of information from databases. So, there is a need to prevent the "inference rules" from being disclosed such that the more secure data sets cannot be identified from non-sensitive attributes. This can be done through removing/adding certain item sets in the transactions (Sanitization). The purpose is to...

A discovery method of rules of hierarchy and reliability for very large databases is devised for interactive refinement that can effectively cope with high dimensionality and voluminousness of the data sets. The method takes advantage of the fact that more general concepts occur more frequently and the focus of knowledge discovery is to find some hidden rules that govern some substantial portio...

The Babar, Belle, CLEO, D0, CDF and FOCUS collaborations have discovered (or confirmed) a large number of charmonium-like states X(3940), X(3872), Y (4260), Y (4008), Y (3940), Y (4325), Y (4360), Y (4660), etc, and revitalized the interest in the spectroscopy of the charmonium states [1, 2, 3, 4]. Many possible assignments for those states have been suggested, such as multiquark states (whethe...