A Network Delay Factor Model Based on the Hidden Markov Model and Latent Dirichlet Allocation
نویسندگان
چکیده
منابع مشابه
Reader’s Emotion Prediction Based on Partitioned Latent Dirichlet Allocation Model
Different from traditional emotion analysis which focuses on the identification of emotions from the text, this research aims to predict the reader’s emotion for given text. Regarding reader emotion as the response to the text, emotion prediction may be transferred to a classification problem which classifies the text into the categories causing different emotions. In this study, we propose an ...
متن کاملMulti - label Classification Algorithm Based on Latent Dirichlet Allocation Model
Vector Space Model (VSM) is used frequently in Text Classification (TC). However, it is usually produces a high dimensional feature space which leads to huge cost of computation and storage. Recently, statistic topic model plays an important role in the field of Information Retrieval (IR), TC and Document Clustering. In this chapter, we try to use a kind of statistic model—Latent Dirichlet Allo...
متن کاملmortality forecasting based on lee-carter model
over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...
15 صفحه اولLatent Dirichlet Markov Allocation for Sentiment Analysis
In recent years probabilistic topic models have gained tremendous attention in data mining and natural language processing research areas. In the field of information retrieval for text mining, a variety of probabilistic topic models have been used to analyse content of documents. A topic model is a generative model for documents, it specifies a probabilistic procedure by which documents can be...
متن کاملtuberculosis surveillance using a hidden markov model
background: routinely collected data from tuberculosis surveillance system can be used to investigate and monitor the irregularities and abrupt changes of the disease incidence. we aimed at using a hidden markov model in order to detect the abnormal states of pulmonary tuberculosis in iran. methods: data for this study were the weekly number of newly diagnosed cases with sputum smear-positive p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2940636