Machine learning-based methods offer a solution, as they have proven effective in predicting concrete compressive strength for concrete mix design. This paper scrutinises the association between the computationa
computational complexity offers outstanding research at the junction of mathematics and theoretical computer science. Covers models of computation, ...
Computational complexity increased difficulty and promoted satisficing behavior In nearly all 462 instances, the animals performed better than predicted by chance, yet there was significant performance variability between instances (Fig. 2a,b). We sought to determine whether computational complexity modulated...
Most state-of-the-art nonparametric machine learning algorithms have a computational complexity of either O(N 2 ) or O(N 3 ), where N is the number of training examples. In my thesis I propose to explore the scalability of machine learning algorithms both with respect to the number of ...
Emphasis in feature selection: model accuracy vs. model complexity vs. model interpretability Highlights Three aspects need to be considered when constructing a model: accuracy, complexity, and interpretability. Accuracy is a fundamental requirement, and model complexity and interpretability can be further...
This allows for feature fusion in high resolutions at a low computational complexity. FromScience Daily The system runs on a sophisticated machine-learning engine — ByteDance researchers have championed its “sub-linear computational complexity” — but to TikTokers, the process could not be simpler...
(bilinear complexity, computations for polynomials, groups, algebras, and representations) Interactive proofs, pseudorandom generation, and randomness extraction Complexity issues in: cryptography learning theory number theory logic (complexity of logical theories, cost of decision procedures) combinatorial ...
one measures the complexity of learning either by a single number/ordinal for the whole class or by a function in a parameterndescribing the complexity of the target to be learned. The actual measure can be the number of mind changes, the number of queries submitted to a teacher, the numbe...
Computational Complexity is a measure of the computational time taken by a particular algorithm. In a scenario where there are multiple algorithms available for a particular problem, the effectiveness of any particular algorithm is gauged on the basis of
Computational complexity The most computationally demanding part of CAMP is creating the atomic moments and hyper moments. Let \({v}_{\max }\) represent the maximum rank of tensors used in the model. This implies that all features h, atomic moments M, and hyper moments H have ranks up to...