A new approach for decoding multidimensional (mD) nonsystematic convolutional codes is described. The possibility of coding at different rates along the dimensions of the sequence space is explored and the notion of ordering of information and encoded sequences based on coding rate is explained. Using this technique, a class of fast-decodeable, locally invertible m-D convolutional codes based o...

Recently, there has been increased interest in using Single Nucleotide Polymorphisms (SNPs) as a method for detecting genes for complex traits. SNPs are diallelic markers that have the potential to be inexpensively produced using chip technology. It has been suggested that SNPs will be beneficial in study designs that utilize trio data (father, mother, child). In our previous work, we calculate...

In many FU articles currently published, results are given primarily in the form of graphs of survival curves, rather than in the form of life table data. Sometimes the authors may comment on the slope of the survival curve as though it were equal to the annual mortality rate (after reversal of the minus sign to a plus sign). Even if no comment of this sort is made, medical directors and underw...

Biological research often involves testing a growing number of null hypotheses as new data are accumulated over time. We study the problem online control familywise error rate, that is an priori unbounded sequence ( p-values) one by time without knowing future, such with high probability there no false discoveries in entire sequence. This paper unifies algorithmic concepts developed for offline...

Modern Statistical Machine Translation (SMT) systems make their decisions based on multiple information sources, which assess various aspects of the match between a source sentence and its possible translation(s). Tuning a SMT system consists in finding the right balance between these sources so as to produce the best possible output, and is usually achieved through Minimum Error Rate Training ...

From the theory of Bayesian pattern recognition it is well known that the maximum a posteriori decision criterion yields a recogniser with the minimum probability of assigning the incorrect label to a pattern, if the correct probability distributions are used. This MAP criterion is also routinely employed in automatic speech recognition system. The problem addressed in this thesis is the fact t...