This paper will review the recent applications of MDL techniques for genomic sequence analysis presented in detail in [12] and [13]. The normalized maximum likelihood (NML) model [5]-[8] for a class of Markov sources [13] was recently used for the compression of full genomes, obtaining for the human genome the best existing compression results [4]. We have shown that one of the underlying biolo...

PURPOSE To evaluate the treatment of symptomatic pelvic lymphoceles (SPL) after performing radical retropubic prostatectomy (RRP) and pelvic lymphadenectomy (PLA) simultaneously. MATERIAL AND METHODS We analyzed, in a retrospective study, 250 patients who underwent RRP with PLA simultaneously. Only patients with SPL were treated using different non- and invasive procedures such as percutaneou...

The minimum description length (MDL) principle is a theoretically well-founded, general framework for performing model class selection and other types of statistical inference. This framework can be applied for tasks such as data clustering, density estimation and image denoising. The MDL principle is formalized via the so-called normalized maximum likelihood (NML) distribution, which has sever...

Bayesian networks are among most popular model classes for discrete vector-valued i.i.d data. Currently the most popular model selection criterion for Bayesian networks follows Bayesian paradigm. However, this method has recently been reported to be very sensitive to the choice of prior hyper-parameters [1]. On the other hand, the general model selection criteria, AIC [2] and BIC [3], are deriv...

In this talk, we discuss the principle of Minimum Description Length (MDL) for problems of statistical modeling. By viewing models as a means of providing statistical descriptions of observed data, the comparison between competing models is based on the stochastic complexity (SC) of each description. The Normalized Maximum Likelihood (NML) form of the SC (Rissanen 1996) contains a component tha...

When learning Bayesian network structures from sample data, an important issue is how to evaluate the goodness of alternative network structures. Perhaps the most commonly used model (class) selection criterion is the marginal likelihood, which is obtained by integrating over a prior distribution for the model parameters. However, the problem of determining a reasonable prior for the parameters...

The auditory (cochlear) ganglion cells of the alligator lizard (Gerrhonotus multicarinatus) give rise to two types of peripheral fibers: tectorial fibers, which contact hair cells covered by a tectorial membrane, and free-standing fibers, which contact hair cells without a tectorial membrane. To determine the central projections of these fibers, we applied intracellular and extracellular inject...

The normalizedmaximum likelihood (NML) index is amodel-selection index derived from theminimumdescription length principle. In contrast to traditional model-selection indices, it also quantifies differences in flexibility between models related to their functional form. We present a new method for computing the NML index for models of categorical data that parameterize multinomial or productmul...

Kinetic models which can express the behaviors of hydrolysis and biogas generation more precisely than the conventional models were developed. The developed models were evaluated based on the experimental data of six batch reactors. Anaerobic digestion test was co-digestion of food and vegetable waste with inoculating horse dung by 15% of the total wet weight, at the temperature of 37o</su...