In the present study, we have defined, so-called, MaxEnt and MinxEnt functionals on the set of corresponding moment vector functions via the MaxEnt and MinxEnt optimization measures. By virtue of these functionals we have obtained two new distributions – MinMaxEnt and MaxMinxEnt distributions. The approach to obtain mentioned distributions can be formulated as a generalization of MaxEnt and Min...

We study the problem of maximum entropy density estimation in the presence of known sample selection bias. We propose three bias correction approaches. The first one takes advantage of unbiased sufficient statistics which can be obtained from biased samples. The second one estimates the biased distribution and then factors the bias out. The third one approximates the second by only using sample...

This paper describes the traditional authorship attribution subtask of the PAN/CLEF 2013 workshop. In our attempt to classify the documents based on gender and age of an author, we have applied a traditional approach of topic modeling using Latent Dirichlet Allocation[LDA]. We used the content based features like topics and style based features like preposition-frequencies, which act as the eff...

While inversion transduction grammar (ITG) is well suited for modeling ordering shifts between languages, how to make applying the two reordering rules (i.e., straight and inverted) dependent on actual blocks being merged remains a challenge. Unlike previous work that only uses boundary words, we propose to use recursive autoencoders to make full use of the entire merging blocks alternatively. ...

We propose a natural generalization of Regularized Maximum Entropy Density Estimation (maxent) to handle input data with unknown values. While standard approaches to handling missing data usually involve estimating the actual unknown values, then using the estimated, complete data as input, our method avoids the two-step process and handles unknown values directly in the maximum entropy formula...

Species distribution modeling (SDM) is an important tool to assess the impact of global environmental change. Many species exhibit ecologically relevant intraspecific variation, and few studies have analyzed its relevance for SDM. Here, we compared three SDM techniques for the highly variable species Pinus contorta. First, applying a conventional SDM approach, we used MaxEnt to model the subjec...

In density estimation task, maximum entropy model (Maxent) can effectively use reliable prior information via certain constraints, i.e., linear constraints without empirical parameters. However, reliable prior information is often insufficient, and the selection of uncertain constraints becomes necessary but poses considerable implementation complexity. Improper setting of uncertain constraints...

Though the GYDER system has achieved the highest accuracy scores for the metonymy resolution shared task at SemEval-2007 in all six subtasks, we don’t consider the results (72.80% accuracy for org, 84.36% for loc) particularly impressive, and argue that metonymy resolution needs more features.

PDF HTML阅读 XML下载 导出引用 引用提醒 基于最大熵模型的青海祁连山雪豹生境适宜性评价 DOI: 10.5846/stxb202009192440 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家重点研发项目课题(2017YFC0506405) Habitat suitability assessment of Panthera uncia in Qilian Mountains Qinghai based on MAXENT modeling Author: Affiliation: Fund Project: National Key RESEARCH and Development Project (2017YFC0506405) : The second batch Forestry Reform 2018, the Rare endan...