Chinese text error correction tool.pycorrector Use the language model to detect errors, pinyin feature and shape feature to correct chinese text error, it can be used for Chinese Pinyin and stroke input method.Featureslanguage modelKenlm RNNLM...
wuusk/Quantum-Error-Correction-SimulatorPublic NotificationsYou must be signed in to change notification settings Fork0 Star0 main 1Branch 0Tags Code Hierarchical Clustering Algorithm The Hierarchical Clustering Algorithm is a Python class that implements hierarchical clustering for data clustering tasks. It...
Python 3.x NumPy Readme Keywords none Install npm iquantum-error-correction-simulator Repository github.com/wuusk/Quantum-Error-Correction-Simulator Weekly Downloads 0 License ISC Unpacked Size 3.59 kB Last publish 7 months ago Tryon RunKit ...
An artificial neural network (ANN) is trained to simulate the error in the ECMWF operational model Using the model error from the ANN inside weak-constraint 4D-Var extends the model error correction to the whole atmospheric column Plain Language Summary Model error is one of the main obstacles ...
The storage and processing of quantum information are susceptible to external noise, resulting in computational errors. A powerful method to suppress these effects is quantum error correction. Typically, quantum error correction is executed in discrete r
In view of the above problems, this paper proposes a measurement error correction method by double regression-based particle swarm optimization (DR-PSO). Unlike the traditional physical simulation model, the double regression algorithm is used to obtain the rough value of the measurement error. Then...
Boson quantum error correction is an important means to realize quantum error correction information processing. In this paper, we consider the connection of a single-mode Gottesman-Kitaev-Preskill (GKP) code with a two-dimensional (2D) surface (surface-
Error rate correlation among different error-correction schemes. (a) Linear regression between true mutations and different error-correction methods. The model y∼x+a was adapted to do regression. Every dot represents a position on the target sequence and the values on x-axis and y-axis repres...
In the testlet case, one should use correction factor H / ( H − 1 ) instead of I / ( I − 1 ) . 5.3. Linking Error in Chain Linking In this subsection, we discuss the computation of the linking error in chain linking [33,43,44] in log-mean-mean linking. Figure 1 ...
After that, we introduce the math neuron model and discuss its pivot qualities. The blended CPG networks are introduced to incorporate biological and mathematical neurons and to train the latter. Their outcomes are measured and compared against each other to find the degree of their likeness with ...