نتایج جستجو برای: falling location
تعداد نتایج: 244681 فیلتر نتایج به سال:
Objective Stroke is one of the most important causes of disability worldwide. Fear of falling is one of the consequences of stroke that could decrease the quality of life. It presents in the patients who have fallen as well as in patients had not experienced a fall. Fear of falling is essential because of its impact on physical and mental health and even the quality of life. In addition to adve...
Finding a tube of small width that covers a certain percentage of the training data samples is a robustway to estimate a location: the values of the data samples falling outside the tube have no direct influence on the estimate. The well-known ν-tube Support Vector Regression (ν-SVR) is an effective method for implementing this idea in the context of covariates. However, the ν-SVR considers onl...
This paper focuses on two distinct facets of globalization: the decrease in the trade costs of goods and the decline of communication costs between headquarters and production facilities within firms. When the unskilled have about the same wage in the two regions, the decrease of these costs fosters the gradual agglomeration of plants in the core region accommodating the headquarters. By contra...
In recent years, online interpersonal communication via social media has become an integral part of people’s personal and professional lives. Exponential growth in the adoption of mobile and wearable devices has further enriched communication by incorporating contextually relevant sensor information, such as location. At the same time, the capabilities and functionalities of these devices and s...
Falling rule lists are classification models consisting of an ordered list of if-then rules, where (i) the order of rules determines which example should be classified by each rule, and (ii) the estimated probability of success decreases monotonically down the list. These kinds of rule lists are inspired by healthcare applications where patients would be stratified into risk sets and the highes...
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