Sentence examples for makes strong assumptions from inspiring English sources
"If one makes strong assumptions and they are not correct, the validity of the conclusion is called into question," Rajaratnam said.
The original formulation of the problem makes strong assumptions regarding the agent's knowledge and control over the world, namely that its information is complete and correct, and that the results of its actions are deterministic and known.
Thus, there would be no warrant for talk of group minds.[48] Of course, this criticism makes strong assumptions about how to explain any rationality that might be exhibited at the group level, assumptions that are open to challenge.
All in all, existing work makes strong assumptions about the presence and availability of video-customized hardware and codecs, bandwidths of the orders of megabit per second (Mbps), and mains power supply or unconstrained battery sources, all defining VSN design in concordance.
Such a function makes strong assumptions about the form of the fitness landscape; specifically, mutational effects become very large as fitness is reduced.
It also makes strong assumptions about the information and cognitive abilities available to agents.
However, the method makes strong assumption on the types of clothing the person wears (e.g., the clothing types must be known beforehand), and this makes it not very practical in real-life application.
Clearly, the traditional measures of effectiveness make strong assumptions about what trade shows do.
Most existing works have made strong assumptions, such as the fixed object position and monotonous manipulation background, which facilitate the detection of graspable objects.
Our formulation does not make strong assumptions regarding the structure of the motif and in practice both motifs that fit well the PSSM model, and those that exhibit strong dependencies between position pairs are found as dense subgraphs.
Formal Bayesian approaches are commonly employed for parameter calibration and uncertainty analysis, but are often criticized for making strong assumptions about the nature of model residuals via the likelihood function that may not be well satisfied (or even checked).
