The phrase "and instances with" is correct and usable in written English.
You can use it when referring to specific examples or occurrences related to a particular subject or context.
Example: "The report highlights various challenges and instances with the implementation of the new policy."
Alternatives: "and examples of" or "and cases involving".
RightScale allows users to scale out their MySQL database requirements and instances, with advanced monitoring and logging.
Task τ2 has '10' as (m,k -firm pattern, im,k -firmhat instances with arrival times 0,18,36,... are classified as mandatory and instances with arrival time 9,27,45,... are classified as opattern.
Extensive computational experiments results are reported using both Mandl's original benchmark set and instances with different demands and travel times as well, in order to determine Pareto Frontiers of optimal solutions, given that users' and operators' costs are conflicting objectives.
To test the performances of the algorithms with problems of different sizes, we generated instances with c=100 and n ∈ { 100, 500, 1000, 5000 }, and instances with n=5000 and c ∈ { 1000, 5000 }.
The categories and sub-categories identified are described below and instanced with quotations from the interviews (Table 1).> An idea put forth by almost all respondents is that ability to understand information is necessary for decision-making capacity.
In practice, we first combined the 40 attributes of the sequence, structure, and evolution feature, and then delivered positive and negative instances with 40 attributes to the C4.5 algorithm [ 20, 21].
Domain ontology, encompassing both concepts and instances, along with their relations and properties, is a new medium for the storage and propagation of domain specific knowledge.
In practice, the C4.5 algorithm [ 20, 21] was utilized to build those TFBS identification models, in which the positive and negative instances with feature information were used as the input and a decision tree model was generated as the output.
Our experiments consider 11 algorithms and 35 instance distributions; they also span a very wide range of SAT, MIP, and TSP instances, with the least structured having been generated uniformly at random and the most structured having emerged from real industrial applications.
Results indicate that this approach can extract and classify instances with high effectiveness with the additional advantage of domain independence.
The most dominant frame, 'irresponsible lawbreakers', was present in every year, (between 5 and 11 instances) with a peak of 11 (13.4%) in 2007.
