Unverified50% confidenceFactExact time
L0MO searches over a subset of functions with sparse representations in a Reproducing Kernel Hilbert Space (RKHS).
1
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50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
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Related Claims
UnverifiedL0MO simultaneously optimizes two sets of quantities: the kernel locations and the kernel coefficients.73% similarUnverifiedReproducing Kernel Hilbert Spaces (RKHS) provide a rigorous mathematical framework for support vector machines and Gaussian processes.72% similarUnverifiedIn Bayesian optimization, the covariance function of a Gaussian process itself defines an RKHS.67% similarUnverifiedGLM-5.3 directly follows GLM-5.2's inference path in vLLM, reusing the glm47 and glm45 parsers.57% similarUnverifiedL2算法相对于基向量系数位长β达到O(n⁴·β·(n+β))的位复杂度，在β=O(n)时相当于O(n⁶)，而经典LLL约为O(n⁹)57% similar
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