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Trial and Error and Algorithm01:12

Trial and Error and Algorithm

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A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
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Export of Misfolded Proteins out of the ER01:32

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After folding, the ER assesses the quality of secretory and membrane proteins. The correctly folded proteins are cleared by the calnexin cycle for transport to their final destination, while misfolded proteins are held back in the ER lumen. The ER chaperones attempt to unfold and refold the misfolded proteins but sometimes fail to achieve the correct native conformation. Such terminally misfolded proteins are then exported to the cytosol by ER-associated degradation or ERAD pathway for...
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Long-patch Base Excision Repair01:02

Long-patch Base Excision Repair

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Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:
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Random Error01:04

Random Error

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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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Base Excision Repair01:54

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One of the common DNA damages is the chemical alteration of single bases by alkylation, oxidation, or deamination. The altered bases cause mispairing and strand breakage during replication. This type of damage causes minimal change to the DNA double helix structure and can be repaired by the base excision repair (BER) pathways. BER corrects damaged DNA sequences by removing the damaged base and restoring the original base sequence using the complementary strand as a template.
The first step of...
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ER Retrieval Pathway01:45

ER Retrieval Pathway

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In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
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Related Experiment Video

Updated: Sep 30, 2025

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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Kernel Error Path Algorithm.

Ziran Xiong, Charles X Ling, Bin Gu

    IEEE Transactions on Neural Networks and Learning Systems
    |March 11, 2022
    PubMed
    Summary
    This summary is machine-generated.

    A new Kernel Error Path (KEP) algorithm finds the optimal kernel parameter for machine learning models, minimizing cross-validation error more efficiently than traditional methods. This approach improves model performance and generalization on unseen data.

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    Area of Science:

    • Machine Learning
    • Computational Statistics

    Background:

    • Kernel parameter tuning is crucial for kernel method performance.
    • Existing error path algorithms are limited to piecewise linear solutions.
    • Finding the global optimal kernel parameter is essential for model selection.

    Purpose of the Study:

    • To extend error path algorithms to nonlinear kernel solution paths.
    • To propose a novel Kernel Error Path (KEP) algorithm.
    • To guarantee finding the global optimal kernel parameter with minimum cross-validation error.

    Main Methods:

    • Proving error functions are piecewise constant or smooth with respect to the kernel parameter.
    • Developing the KEP algorithm for support vector machines and kernelized Lasso.
    • Demonstrating KEP's guarantee to find the minimum cross-validation error.

    Main Results:

    • The KEP algorithm successfully identifies the global optimal kernel parameter.
    • KEP achieves minimum cross-validation error across the entire parameter range.
    • Experimental results show KEP is faster than grid and random search.
    • KEP demonstrates superior generalization error on test sets.

    Conclusions:

    • KEP effectively addresses limitations of previous error path algorithms.
    • The proposed KEP algorithm offers an efficient and reliable method for kernel parameter optimization.
    • KEP provides better model generalization compared to conventional search strategies.