Alternatively, data from all transducers can be used while limiting the focal depth, allowing more transmit-receive pulses to ...

treehfd is a Python module to compute the Hoeffding functional decomposition of XGBoost models (Chen and Guestrin, 2016) with dependent input variables, using the TreeHFD algorithm. This decomposition ...

Tensor decomposition is a fundamental tool for analyzing multi-dimensional data by learning low-rank factors to represent high-order interactions. While recent works on temporal tensor decomposition ...

Generally speaking, it’s usually a win when things are functional. Functional fitness, for example, focuses on movement patterns you use in everyday life. Functional fashion might bring to mind ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

The object-oriented paradigm popularized by languages including Java and C++ has slowly given way to a functional programming approach that is advocated by popular Python libraries and JavaScript ...

These days, most people understand the importance of basic core strengthening, but functional core workouts are essential for building a resilient body that can handle everything from carrying heavy ...

Leaf litter decomposition is a critical ecosystem-level process in many freshwater habitats. Although ponds are likely to derive a large proportion of their energy from riparian vegetation, ...

Climate change can alter the flow of nutrients and energy through terrestrial ecosystems. Using an inverse climate change field experiment in the central European Alps, we explored how long-term ...

Abstract: This paper presents an algorithm of symbolic functional decomposition for the implementation of finite state machines in field programmable gate array (FPGA) circuits. Unlike previous ...

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