نتایج جستجو برای: bayesian information criterion
تعداد نتایج: 1278196 فیلتر نتایج به سال:
the objective of the present study was to estimate heritability values for some performance and egg quality traits of native fowl in isfahan breeding center using reml and bayesian approaches. the records were about 51521 and 975 for performance and egg quality traits, respectively. at the first step, variance components were estimated for body weight at hatch (bw0), body weight at 8 weeks of a...
The paper deals with the problem of automatic speaker change detection. A new metric-based algorithm, called AlgBICMap algorithm, is proposed in this paper. The AlgBICMap algorithm allows to create a map of BIC (Bayessian Information Criterion), which enables us to detect efficiently fields of speech of individual speakers. In comparison with a typical metric-based approach, the advantage of th...
A crucial part of the intelligence that smart environments should display is a specific form of social intelligence: the ability to read human behavior and its traces in terms of underlying intentions and assumptions. Such ability is crucial to enable human users to tacitly coordinate and negotiate with smart and proactive digital environments. In this paper, the authors argue that the necessar...
This paper presents a method to detect acoustic events that can be used to find “hot spots” in podcast programs. We focus on meaningful non-verbal audible reactions which suggest hot spots such as laughter and reactive tokens. In order to detect this kind of short events and segment the counterpart utterances, we need accurate audio segmentation and classification, dealing with various recordin...
This study investigated speaker variation in the production of various acoustic cues of prominence, including durational and intensity measures. This study stems from our prior work where we used the Bayesian Information Criterion to determine whether each cue were gradiently or discretely associated with prominence. In our prior work, we found that features vary as to whether they are gradient...
Our work supplements [3] very closely, even down to the level of notation. The setting is three-dimensional xyz-space. 0.1. Six Edges of a Cube. Consider a polygonal wire loop with six line segments: (0, 0, 0)→ (1, 0, 0)→ (1, 0, 1)→ (1, 1, 1)→ (0, 1, 1)→ (0, 1, 0)→ (0, 0, 0). What is the minimal area for any surface spanning this fixed boundary? Equivalently, what is the outcome of dipping the ...
In [1], various model selection approaches were experimentally inter-compared; one of the considered model selection criteria was the Schwarz Information Criterion (SIC); however, SIC was incorrectly implemented. The same mistake has been repeated in other more recent papers. Here, we show why the SIC formula originally employed was wrong. We report instead the correct approach, which is well-k...
Neyman-Pearson or frequentist inference and Bayes inference are most clearly differentiated by their approaches to point null hypothesis testing. With very large samples, the frequentist and Bayesian conclusions from a classical test of significance for a point null hypothesis can be contradictory, with a small frequentist P -value casting serious doubt on the null hypothesis, but a large Bayes...
We develop a probabilistic criterion for belief expansion that is sensitive to the degree of contextual fit of the new information to our belief set as well as to the reliability of our information source. We contrast our approach with the success postulate in AGM-style belief revision and show how the idealizations in our approach can be relaxed by invoking Bayesian-Network models. ∗A slightly...
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