MaxEnt grammar is a probabilistic version of Harmonic Grammar in which the harmony scores candidates are mapped onto probabilities. It has become tool choice for analyzing phonological phenomena involving variation or gradient acceptability, but there competing proposal making probabilistic, Noisy Grammar, derived by adding random ‘noise’ to constraint weights. In this paper these frameworks, a...

ix CHAPTER 1: INTRODUCTION 1 1.1 Thesis Organization 7 CHAPTER 2: RELATED WORK 8 2.1 Types of Species Distribution Models 8 2.2 The MAXENT Model and Applications 10 CHAPTER 3: METHODS AND DATA 15 3.1 Typical Species Distribution Model Workflow 15 3.2 Presence Data 17 3.3 Explanatory Variables 17 3.4 MAXENT Model Runs 22 3.5 Assessment of Model and Variable Performance 23 CHAPTER 4: RESULTS 25 4...

The Maximum Entropy maxent principle has been successfully applied in classi cation and tagging tasks Compared with other statistical learning method it allows convenient integration of di erent knowledge sources However it is restricted by the size of the training corpus in that not all knowledge can be incorporated For instance events observed with low counts can be either a particular patter...

در این مقاله یک مدل ریاضی برای مسئله سیستم تولیدی همکارانه ساخت بر اساس سفارش با رعایت انصاف تخصیص بار‌های تولید طراحی شده است. اهداف اصلی مدل، کمینه‌سازی هزینه‌‌های کل و حداکثر استفاده از منابع به‌منظور عادلانه شرایط عدم­قطعیت کنترل پارامتر‌های غیرقطعی روش برنامه‌ریزی فازی ‌شده نتایج نشان می‌دهد افزایش نرخ عدم‌قطعیت، می­یابد. ازآنجاکه ظرفیت کارخانه‌ها ثابت است، مقدار تقاضا، هر کارخانه نیز می­ی...

A Bayesian/Maximum entropy (MaxEnt) method is applied to quantify the broadening of Xray line profiles in terms of the nanocrystallite size effects in ceria. The analysis is in general agreement with transmission electron microscopy results, while demonstrating the importance of appropriate a priori information needed in the method. The analysis also identifies other microstructural effects, su...

The asymptotic convergence of probability density function (pdf) and convergence of differential entropy are examined for the non-stationary processes that follow the maximum entropy principle (MaxEnt) and maximum entropy production principle (MEPP). Asymptotic convergence of pdf provides new justification of MEPP while convergence of differential entropy is important in asymptotic analysis of ...

In many practical situations, the Maximum Entropy (MaxEnt) approach leads to reasonable distributions. However, in an important case when all we know is that the value of a random variable is somewhere within the interval, this approach leads to a uniform distribution on this interval – while our intuition says that we should have a distribution whose probability density tends to 0 when we appr...

Lobesia botrana (Denis & Schiffermüller, 1775) (Lepidoptera: Tortricidae) is one of the most destructive pests of grape in the Palearctic region. The potential geographical distribution of this pest is important to agriculture security. In this study, Maxent and ArcGIS were used to project the potential geographical distribution of L. botrana in China under the current climate. The result indic...

Named Entity Recognition (NER) is an important task in information extraction, where major attention has been paid to written texts of a news or academic paper (esp. biomedical) style. In this paper we report the first piece of work on NER in spoken Chinese dialogues, as a preliminary step for spoken language understanding. The NER task is taken as a sequential classification problem and solved...