Binary feature selection algorithmFeature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. Despite its ...
This work considers a new approach to symbolic regression, namely symbolic regression by uniform random global search. In broad strokes, the algorithm works by asking the user to specify the most complex binary tree they want to be considered in the search, then the algorithm counts all the ...
ϵ)-perturbation-resilience when each cluster contains more thanϵn+1points”.Our algorithm reduces the NUkC problem to a version of Firefighters problem on trees (formally defined in Sect.4). Under the stability assumptions, we can show that a feasible ...
The LBG design is based on the Lloyd-Max scalar quantizer algorithm. It is widely used because the system parameters can be generated via the use of an input “training set” instead of the true source statistics. The TSVQ design reduces VQ codebook search time by using m-ary tree ...
(4) 5: {bi}qi=1 ← binary search (α1, ..., αq, w) Algorithm 1 describes a method to reduce the mean squared error as in Eq. (2). When the residue ri denotes w− i−1 k=0 αk bk , for i ≥ 1, we can obtain bi and...
Therefore, to improve this drawback, we propose a non-uniform mutation sparrow search algorithm (NMSSA). In the initialization stage of the population, we introduce a tent chaos map and a generalized opposition-based learning strategy to improve the diversity of the population; We introduce ...
& Yi, X. A graph isomorphism algorithm using signatures computed via quantum walk search model. J. Phys. A: Math. Theor. 48, 115302 (2015). Article ADS MathSciNet MATH Google Scholar Kempe, J. Quantum random walks: an introductory overview. Contemp. Phys. 44, 307–327 (2003). ...
Only the most common subcomponents are defined by this specification; other subcomponents may be defined by a URI scheme's specification, or by the implementation-specific syntax of a URI's dereferencing algorithm, provided that such subcomponents are delimited by characters in the reserved set ...
Moreover, since each added labeled formula is linear in the size FG and the non-deterministic branching in the proof search is bounded by (N+s+s)s(N+s+s), again a polynomial in the size of FG, this algorithm is co-NP, i.e., provides an optimal decision procedure for the logic....
Without delving into details we note that the algorithm presented can alternatively be derived as a parameteric search [29] implementation of binary search using the feasibility test of Lemma 13 to implement the binary search comparison. We note that a more delicate algorithm could actually calculate...