Patrick Schneider, Fatos Xhafa, in Anomaly Detection and Complex Event Processing over IoT Data Streams, 2022 Complexity The model complexity refers to the complexity of the function attempted to be learned –similar to a polynomial degree. The nature of the training data generally determines the pr...
'Inherent complexity' in computer science refers to the essential level of complexity that is necessary and intrinsic to a task or system. It is distinct from 'accidental complexity' which arises from unplanned changes, quick fixes, or misunderstandings of the original design. ...
little is known about the causes and consequences of inter-individual variation in the complexity of “complex” sexual displays (but see ref.16). So far, quantitative studies of sexual display complexity (SDC) have examined co-variation between the multiple components of the display and the sign...
finding a Nash Equilibrium, the reductions that led to the conclusion that finding a Nash Equilibrium of a game in the normal form is PPAD-complete, and the reduction from a succinct game with a nice expected utility function to finding a Nash Equilibrium in a normal form game with two ...
of consciousness will enable us to build a Darwinian bottom-up model for the function of consciousness and provide a framework to understand the heterogeneity of subjective experiences. As I will argue here, the explosion of pathological complexity in the Cambrian led to the evolution of a ...
摘要: A lower bound for the linear complexity of sequences generated by the quadratic function x2 mod p is given.关键词: computational complexity cryptography finite fields linear complexity pseudorandom number generation quadratic functions DOI: 10.1016/S0020-0190(99)00126-X ...
1 Introduction In recent times, gravitational collapse has been vastly cov- ered in great detail, which is the consequence of the work done by Oppenheimer and Snyder [1]. In various studies, gravitational collapse has been investigated with dissipation along with important components, namely ...
Superimposed gray bar graphs show the average performance of an agent using random sampling to generate solutions. b, As in a, for monkey B (brown). c, Box plots showing the session-averaged performance of monkey G as a function of instance complexity as measured by the clustering parameter,...
Everybody thought it was great, and it did function, but now one more bug has been found and it falls on a new developer to fix, as it has been a while since anyone has touched it and the current manager just wants it done right now. Cyclomatic complexity measures the number of ...
The numerical constant of the leading terms in the polynomial expressions for both the run time and memory complexity is a function of the ratio k = p/r, which is the ratio of the number of local data paths to the number of registers in a circuit. To gain further insight into the ...