نتایج جستجو برای: multinomial logistic regression

تعداد نتایج: 331786  

2008
Bing-Sheng Teng T. K. Das

Purpose – Strategic alliances have a variety of governance structures that can be broadly classified as joint ventures, minority equity alliances, and contractual alliances. This paper seeks to empirically examine the roles of four key determinants of governance structure choice, namely, joint R&D and joint marketing objectives, alliance management experience, and international partners. Design...

2008
Djalil Chafai Didier Concordet

Consider the observation of n iid realizations of an experiment with d ≥ 2 possible outcomes, which corresponds to a single observation of a multinomial distribution Md(n,p) where p is an unknown discrete distribution on {1, . . . , d}. In many applications, the construction of a confidence region for p when n is small is crucial. This concrete challenging problem has a long history. It is well...

2014
Judit Ács

Judit Ács Research Institute for Linguistics Hungarian Academy of Sciences [email protected] Abstract We describe a method for expanding existing dictionaries in several languages by discovering previously non-existent links between translations. We call this method triangulation and we present and compare several variations of it. We assess precision manually, and recall by comparing the ...

2011
Hyungwook Yim Simon Dennis Vladimir M. Sloutsky

To address the mechanism underlying the development of episodic memory, the current study used a modified list learning paradigm for children (i.e. ABCD, ABAC, ABABr) and compared the performance of 4 year-olds, 7 year-olds, and adults. The results show that only the ABABr condition, which involves a 3-way binding structure, differed across age. Additionally, a proposed computational model (mul...

Journal: :Computers & Graphics 1995
Gabriele Lohmann

The selection of suitable features is the most critical part of any classification process. In the area of textural classification, one way to determine if the features are suitable is to synthesize an image which has the given textural features. An algorithm for synthesizing textures that have a set of given cooccurrence matrices is presented, and it is shown that these synthetic images do ind...

2006
Georg Stenberg

The picture superiority effect, i.e., better memory for pictures than for corresponding words, has been variously ascribed to a conceptual or a perceptual processing advantage. The present study aimed to disentangle perceptual and conceptual contributions. Pictures and words were tested for recognition in both their original formats and translated into participants’ second language. Multinomial...

1998
Nir Friedman Yoram Singer

We examine the problem of estimating the parameters of a multinomial distribution over a large number of discrete outcomes, most of which do not appear in the training data. We analyze this problem from a Bayesian perspective and develop a hierarchical prior that incorporates the assumption that the observed outcomes constitute only a small subset of the possible outcomes. We show how to effici...

2014
Shane Chern

In 2001 Luca proved that no Fermat number can be a nontrivial binomial coefficient. We extend this result to multinomial coefficients.

2010
Jinfeng Yang Xishuang Dong Yi Guan Chengzhen Huang Sheng Wang

This paper describes our participation in the faceted blog distillation task at Blog Track 2010. In our approach, indri toolkit is applied for basic topic relevance retrieval. Then the Maximum Entropy (ME) model is adopted to judge the relevance of each blog to specified facet. Feed faceted relevance is calculated by integrating the average relevance of all blogs within a feed and the average r...

Journal: :Int. J. Approx. Reasoning 2014
Marco Zaffalon Giorgio Corani

We briefly overview the problem of learning probabilities from data using imprecise probability models that express very weak prior beliefs. Then we comment on the new contributions to this question given in the paper by Masegosa and Moral and provide some insights about the performance of their models in data mining experiments of classification.

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