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Throughout this section, we use linear and nonlinear classifiers as prototypical examples of ''less powerful" and 'moree powerful" learning, respectively.
Throughout this section we suppose the following.
Throughout this section, we set N = 10.
Throughout this section, we fix and let.
Throughout this section, we assume that the following conditions hold.
Throughout this section, we assume that (A1)–(A5) hold.
Throughout this section, we will assume that (4.1).
Throughout this section, we suppose the following:, where,.,..,.,...
Throughout this section, we always assume that (2.2) holds.
Throughout this section we assume that this approach to conditionals is correct.
Throughout this section we shall use 'fact' in the first sense.
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