"heuristic learning" is a correct and usable term in written English.
It refers to a type of learning process that uses problem-solving strategies to try to find solutions. For example, "John applied heuristic learning skills to quickly solve the challenging math question."
In such fast motion, feedforward control is dominant and our brachiation robot generates feedforward control inputs by the proposed heuristic learning method.
Second, heuristic learning was applied.
The learning algorithm employs heuristic learning strategies for learning each input spike pattern.
The workflow of biocuration is a heuristic learning procedure, and the heuristic rules are based on the experience of the biocurators (5); that is, different biocurators might annotate differently.
In commonly used heuristic structure learning algorithms, P(D| G) is optimized instead of the true model P(G| D).
If nothing else, the tree-like network approach would serve as an excellent starting point for a search-and-score heuristic structure learning algorithm and would help to identify which subset of nodes should be included in such a search.
A hybrid-heuristic machine learning methodology, based on hybrid genetic algorithm (GA) and artificial neural network (ANN) data classification methods is proposed as an expert system for assessing viability of surrogates of a two-stage-to-orbit (TSTO) vehicle.
Figure 3A shows that S. ambiguum grouped into medium (X +SE = 0.67 +0.03 bits) and high (X +SE = 0.54 +0.02 bits) levels of initial reversal preparedness with respective social biases for moderate and ample vibration intensity and meaningfulness significantly differed in the mean metric entropy of mating heuristics across learning trials (F 1,115) = 17.14, p = 6.69 x 10−5).
By doing so, this article presents a knowledge-based system architecture, including case base, rule base, heuristic base, and learning paradigm, for the military command and control procedure with strategic guidance (commander's strategy and tactics) and tactical planning (staff plans generation) system functions in terms of implementing problem structuring methods in military command and control.
However, the major unresolved roadblocks include: big solution space but a small sample size; highly complex networks; imperfect prior knowledge; missing significance assessment; and heuristic structural parameter learning.
Because these differences can be used for discrimination, a simple twin- identification heuristic consists in learning to recognise a feature that is distinctive of one of the lookalike-twins, searching for that unique feature, and ending the search when that feature has been recognised.
