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811 to 820 of 906 Results
ML_solver.py
Mar 4, 2026 - Replication Data for: Solving Approximation Tasks with Greedy Deep Kernel Methods
Python Source Code - 36.5 KB - MD5: 0bb472c85791b40c137bf058fd004bbb
ML_solver_results.ipynb
Mar 4, 2026 - Replication Data for: Solving Approximation Tasks with Greedy Deep Kernel Methods
Jupyter Notebook - 768.6 KB - MD5: 4334083381a02a931226a771ed7df122
ML_solver_v1.py
Mar 4, 2026 - Replication Data for: Solving Approximation Tasks with Greedy Deep Kernel Methods
Python Source Code - 30.8 KB - MD5: 07fbb9883fd0a396f2170be23fc707ce
ModelProblem.cpython-312.pyc
Mar 4, 2026 - Replication Data for: Solving Approximation Tasks with Greedy Deep Kernel Methods
Unknown - 12.6 KB - MD5: 1c19861e827fbeb9f1eec7386b292bf5
ModelProblem.cpython-313.pyc
Mar 4, 2026 - Replication Data for: Solving Approximation Tasks with Greedy Deep Kernel Methods
Unknown - 11.5 KB - MD5: 9f2faafcaad704eb643f86edb9d5ad0e
ModelProblem.py
Mar 4, 2026 - Replication Data for: Solving Approximation Tasks with Greedy Deep Kernel Methods
Python Source Code - 10.2 KB - MD5: 95661c2c29111e64e05ba67ccd55b73b
mpl_pgf_style.cpython-312.pyc
Mar 4, 2026 - Replication Data for: Solving Approximation Tasks with Greedy Deep Kernel Methods
Unknown - 872 B - MD5: 16070f8835f8bdca742afb10e02dc99b
mpl_pgf_style.py
Mar 4, 2026 - Replication Data for: Solving Approximation Tasks with Greedy Deep Kernel Methods
Python Source Code - 874 B - MD5: 0cbc0d9ab7294ab7fa7417e2c5b46174
parameters.npy
Mar 4, 2026 - Replication Data for: Solving Approximation Tasks with Greedy Deep Kernel Methods
Unknown - 3.4 KB - MD5: bbd4ea72c365696d20b4a3cf6d317986
PODE_BrusselatorODE_NC100_CT_VKOGA.pdf
Mar 4, 2026 - Replication Data for: Solving Approximation Tasks with Greedy Deep Kernel Methods
Adobe PDF - 85.0 KB - MD5: 41239dfbf27a220c2b0c9f9a1046ab2e
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