Results 21 to 30 of about 185,427 (266)
Citation: Sabine Koch, Christoph U. Lehmann, Reinhold Haux. On Bridges and Stacks.
Sabine Koch +2 more
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The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide. This gynecological carcinoma causes many deaths, even though it can be treated by removing malignant tissues at a preliminary stage.
Krishnaraj Chadaga +5 more
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Interpreting uninterpretable predictors: kernel methods, Shtarkov solutions, and random forests
Many of the best predictors for complex problems are typically regarded as hard to interpret physically. These include kernel methods, Shtarkov solutions, and random forests.
T. M. Le, Bertrand Clarke
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BackgroundHypertension is a major public health problem, and its resulting other cardiovascular diseases are the leading cause of death worldwide. In this study, we constructed a convenient and high-performance hypertension risk prediction model to ...
Shuang Guo +8 more
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Power Optimization for Wind Turbines Based on Stacking Model and Pitch Angle Adjustment
As we know, power optimization for wind turbines has great significance in the area of wind power generation, which means to make use of wind resources more efficiently.
Zhikun Luo +4 more
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The selection of a meta-learner determines the success of a stacked ensemble as the meta-learner is responsible for the final predictions of the stacked ensemble.
Seng Zian +2 more
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MOTIVIC INVARIANTS OF ARTIN STACKS AND 'STACK FUNCTIONS' [PDF]
An invariant I of quasiprojective K-varieties X with values in a commutative ring R is "motivic" if I(X)= I(Y)+I(X\Y) for Y closed in X, and I(X x Y)=I(X)I(Y). Examples include Euler characteristics chi and virtual Poincare and Hodge polynomials. We first define a unique extension I' of I to finite type Artin K-stacks F, which is motivic and satisfies ...
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Despite being in high demand as a lifelong learner and academic material supplement, the implementation of Massive Open Online Courses (MOOC) has problems, one of which is the dropout rate (DO) of students, which reaches 93%.
Muhammad Ricky Perdana Putra, Ema Utami
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Ensemble learning method is a collaborative decision-making mechanism that implements to aggregate the predictions of learned classifiers in order to produce new instances. Early analysis has shown that the ensemble classifiers are more reliable than any
Sapna Singh Kshatri +5 more
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Sleep Posture Recognition Method Based on Sparse Body Pressure Features
Non-visual techniques for identifying sleep postures have become essential for enhancing sleep health. Conventional methods depend on a costly professional medical apparatus that is challenging to adapt for domestic use.
Changyun Li, Guoxin Ren, Zhibing Wang
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