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...e close to the minimum of the loss function, under the assumption that the loss function is locally approximately square, trying to describe it by means of ...put <math>i</math> of neuron <math> j </math>, and <math> E </math> is the loss function. ...

The '''rate of return on a portfolio''' is the ratio of the net gain or loss (which is the total of net income, foreign currency appreciation and capita :<math>A_i</math> equals the weight of asset ''i'' in the portfolio, and ...

Traditionally, the wear of materials has been characterized by weight loss and wear rate. However, studies have found that wear coefficient is more su ...r regime. Hence the standard wear coefficient value obtained from a volume loss versus distance curve is a function of the sliding distance.<ref name="Yang ...

...iness involves backlog issues such as customer compensation for delays and loss of goodwill. Earliness incurs expenses for storage of the manufactured item ...m w_iT_i</math>, where every job comes with a weight <math>w_i</math>. The weight is a representation of job cost, priority, etc. ...

...er|R]]'''. Find a [[bijection]] ''f'' : ''A'' &rarr; ''T'' such that the [[Loss function|cost function]]: Usually the weight function is viewed as a square real-valued [[matrix (mathematics)|matrix]] ...

...' is an approach to [[portfolio optimization|portfolio selection]] under [[loss aversion]]. ...''}} is the admissible [[Ruin theory|probability of ruin]]; '''w''' is the weight and '''x''' is the value of the ''jth'' asset to be included in the portfol ...

...n a sample with a lower margin. This leads the boosting algorithm to focus weight on low-margin samples. In non-convex algorithms (e.g., [[BrownBoost]]), the ...

...c mixed-precision (AMP), which performs autocasting, gradient scaling, and loss scaling.<ref>{{Cite web |title=Mixed Precision — PyTorch Training Performan ...example, [[matrix multiplication]]s can often be performed in FP16 without loss of accuracy, even if the master copy weights are stored in FP32. Low-precis ...

{{Short description|Power loss in magnetic materials}} ...s an [[empirical equation]] used to calculate the total power loss ([[core loss]]es) per unit volume in magnetic materials when subjected to external sinus ...

...gorithm by using a [[discrete dynamic programming]] method to minimize a [[loss function]] that attempts to quantify the aesthetic qualities desired in the ...is undesirable (or, if negative, desirable).<ref name="knuth-plass" /> The loss function, known as "badness", is defined in terms of the deformation of the ...

...mize the arithmetic distance between codewords as opposed to the [[hamming weight]] and [[hamming distance]]. The arithmetic distance between two words is a ==Arithmetic Weight and Distance== ...

{{Short description|Mathematical object used in risk modelling.}}A '''year loss table''' ('''YLT''') is a table that lists historical or simulated years, w In a simulated YLT, each year of simulated loss is considered a possible loss outcome for a single year, defined as the <em>year of interest</em>, which ...

initialize all experts to weight 1 add each expert's weight to the option they predicted ...

| title = Spatial variation in biodiversity loss across China under multiple environmental stressors ...y_i</math> measured at <math>N</math> locations connected with the spatial weight matrix <math>w_{ij}</math> first define the spatially lagged vector ...

...l act like a regularizer. For learning by contrastive loss there must be a weight decay to regularize the weights, or some similar operation like a normaliza A distance metric for a loss function may have the following properties<ref>{{Cite web|url=http://slazeb ...

...ve allows researchers to apply machine learning techniques directly to the weight space, enabling novel approaches to model analysis, [[transfer learning]], ...puts to desired outputs by adjusting their weights and biases. Learning in weight spaces, however, uses these trained weights and biases as inputs for second ...

...filter comparison.svg|thumb|upright=1.4|Comparison of passband [[insertion loss]] of 7th-order Achieser–Zolotarev and Chebyshev filters{{sfn|Cameron|Kudsia ...eded.{{sfn|Nwajana|Yeo|2020|p=45}} In applications such as airborne radar, weight and bulk are important considerations.{{sfn|Bowen|1954|p=532}} ...

...|intercalation]]). This contributes to the other major difficulty: lithium loss due to buildup within the battery.<ref name=":0" /><ref name=":3" /> ...d-state electrolyte]]s (SSE) to stabilize and allow for the use of a 99.9% weight μSi anode. This limits the volumetric changes of the silicon anode during l ...

...hidden layer, <math>\mu_j</math> and <math>a_j</math> are the center and weight of neuron <math>j</math>. The [[activation function]] <math>\rho_j(||x-\mu_ Consider the quadratic loss of the network <math>H[\phi^*]=\sum_{i=1}^{N}(y_i-\phi^* (x_i))^2</math>. ...

...[finite-state machine]] in which the edges have [[Glossary of graph theory#weight|weights]], for example [[real number]]s or [[integer]]s. Finite-state machi ...automaton is defined to be the product of weights along the path, and the weight of a string is the sum of the weights of all paths which are labeled with t ...