Pairwise learning is a specialized form of supervised learning that focuses on predicting outcomes for pairs of objects. In this paper, we formulate the pairwise learning problem as a difference of convex (DC)
Human emotions fluctuate over time. However, it is unclear how these shifting emotional states influence the organization of episodic memory. Here, we examine how emotion dynamics transform experiences into memorable events. Using custom musical pieces a
hyperscan - regular expressions with SIMD acceleration. pyahocorasick - Aho-Corasick algorithm in Python. rapidfuzz - fast string matching in C++ and Python.If you are looking for more reading materials on this topic, consider the following:5x...
We have introduced a visualisation and clustering algorithm, that were previously unknown in the single-cell field, for a faster and more accurate representation of single-cell datasets. Scarf is a modularly developed and extensible Python package, designed to work with any kind of single-cell ...
Cubed is a Python library for scalable out-of-core multi-dimensional array processing with bounded memory.Cubed provides NumPy and Xarray APIs for processing your multi-dimensional array data Cubed is a drop-in replacement for Dask's Array API Cubed will tell you if your computation would run ...
HiCOPS to avoid a 50% performance loss in database indexing step for our GPUs (see Performance Evaluation section). Finally, we compared the peptide identification results between GiCOPS and MSFragger7(a database search engine that employs a similar, but proprietary, fragment-ion based algorithm)...
Both systems are implemented in Python and solved simultaneously using the BVP solver from the SciPy library [28] (scipy.integrate. solve_bvp). The solver utilizes a 4th-order collocation algorithm with residual control [29]. Examples of solutions for CFRP and Fe-SMA bonded beams are provided ...
The hoard allocator becomes very slow if the average allocation size exceeds 64KiB. This appears to be due to thread contention in accessing a process-global pool. Conversely, the nedmalloc is slow for small allocations. This may be due to it not using a slab-based algorithm for small ...
On the other hand, overwriting GPU functions is feasible because we are not bounded by a short attack time window. GPU functions are stored in the global memory space and are shared across multiple threads. If we overwrite a GPU function with arbitrary code, any GPU thread that runs the fun...
Memory Management in Operating Systems - Explore the essentials of memory management in operating systems, including techniques, strategies, and common challenges faced in efficient memory allocation.