Most logic-based machine learning algorithms rely on an Occamist bias where textual simplicity of hypotheses is optimised. This approach, however , fails to distinguish between the efficien-cies of hypothesised programs, such as quick sort (O(n log n)) and bubble sort (O(n 2)). We address...
Since the eigenvalue problem can't distinguish between a non-existent wavefunction (and therefore a non-existent particle), and the energy being zero. This is the next thing that has started bothering me on my journey to understand quantum mechanics. For example, in the algebraic derivation of...
R Iemhoff - Computer Science Logic, International Workshop, Csl, Conference of the Eacsl, & Kurt Gödel Colloquium, Kgc, Vienna, Austria, August 被引量: 30发表: 2003年 Admissible rules and backward derivation in intuitionistic logic In intuitionistic logic rules can be \\valid" (we say admi...
S Negri - 《Archive for Mathematical Logic》 被引量: 41发表: 1999年 A fast and robust cluster update algorithm for image segmentation in spin-lattice... Comparison of the novel algorithm known as energy-based cluster update to that of its predecessors; Derivation of a convergence proof; Achiev...
Derivation of the Hicks-Marshall Rules Start with a CES production function, a constant elasticity demand function, and a constant elasticity supply function for capital. The result will hold locally even if these are not exact. The logic is this. A wage is set (for example by a union), ...
Advanced Logic for Applications A Pallas Paperback Volume 110, 1977, pp 13-20 Derivation Rules and Completeness Richard E. Grandy $29.95 / €24.95 / £19.95 * Buy eBook Buy this eBook $89.99 / €71.39 / £61.99* * Final gross prices may vary according to local VAT. * Final...
inference is the deduction theorem, a rule for introducing implications in the natural-deduction propositional and predicate calculi, which permits one to proceed (within certain natural limits) from any derivationA1,A2, …,An-1,Anǀ - B to a derivation of the formA1,A2,…,An–1ǀ–An...
Some consequences for the derivation of macroscopic equations of motion and for the physical foundations of superselection rules ... Joos,E. - 《Physical Review D》 被引量: 154发表: 1984年 Genetic algorithms for learning the rule base of fuzzy logic controller rules together with the tuning of...
Therefore, we reduce the dimensionality of a participant’s full choice profile (left panel) to its first derivation (right panel). Plotted are sample values of one participant and one question. For each voting method, the options with the highest rating are encoded by 1. The remaining one...
We analyse this problem from a theoretical point of view, especially with regards to forward chaining issues such as derivation loss, and perform a series of experiments to empirically evaluate our performance claims. 展开 被引量: 7 年份: 2017 ...