نتایج جستجو برای: item line slope
تعداد نتایج: 509746 فیلتر نتایج به سال:
In this paper, four approaches are presented to the problem of fitting a linear regression model in the presence of spatially misaligned data. These approaches are plug-in method, simulation, regression calibration and maximum likelihood. In the first two approaches, with modeling the correlation between the explanatory variable, prediction of explanatory variable is determined at sites...
The problem of on-line bin packing restricted to instances with only two item sizes (known in advance) has a well-known lower bound of 4/3 for its asymptotic competitive ratio. We present an algorithm which shows that this lower bound is also an upper bound. Hence the asymptotic competitive ratio for this on-line problem is equal to 4/3. Our result extends the corresponding result of Faigle, Ke...
We study the on-line bin packing problem (BPP). In BPP, we are given a sequence B of items a1, a2, . . . , an and a sequence of their sizes (s1, s2, . . . , sn) (each size si ∈ (0, 1]) and are required to pack the items into a minimum number of unit-capacity bins. Let R∞ {α,β} be the minimal asymptotic competitive ratio of an on-line algorithm in the case when all items are only of two differen...
A scanning-laser glint meter designed for field measurements of sea-surface slope statistics is described. A narrow laser beam is scanned in a line, and specular reflections (glints) are counted in bins according to their slope angle. From normalized glint histograms, moments to the fourth order are calculated, and slope probability density functions are approximated with a Gram-Charlier expans...
K-nearest neighbors (KNN) based recommender systems (KRS) are among the most successful recent available recommender systems. These methods involve in predicting the rating of an item based on the mean of ratings given to similar items, with the similarity defined by considering the mean rating given to each item as its feature. This paper presents a KRS developed by combining the following app...
Collaborative filtering based recommender systems help online users in choosing the right products based on the purchase history of the user and his most similar users. Scalability is one of the major issues in designing effective recommender system. In this paper, we have studied different ways of increasing scalability by applying clustering algorithms on three types collaborative filtering a...
Soil erosion by water is a serious environmental problem, particularly in semi-arid regions. In these areas, water loss strongly affects soil loss as well as soil productivity in the rainfed lands. Determination of appropriate seed density for each tillage direction is vital to achieve high crop yield and to prevent soil and water losses. This study was conducted to investigate the combined eff...
BACKGROUND Modern psychometric methods based on item response theory (IRT) can be used to develop adaptive measures of health-related quality of life (HRQL). Adaptive assessment requires an item bank for each domain of HRQL. The purpose of this study was to develop item banks for five domains of HRQL relevant to arthritis. METHODS About 1,400 items were drawn from published questionnaires or ...
Anterior cruciate ligament (ACL) is the primary stabilizer of the knee. An impairment of any of the dynamic or static stability providing factors can lead to overload on the other factors and ultimately to deterioration of knee stability. This can result in anterior tibial translation and rupture of the ACL. The purpose of this study was to examine the influence of tibial slope on ACL injury ri...
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