Defiance by C. J. Redwine

By C. J. Redwine

<span>Within the partitions of Baalboden, underneath the shadow of the city's brutal chief, Rachel Adams has a mystery. whereas different ladies stitch attire, host dinner events, and obey their male Protectors, Rachel is familiar with how you can live to tell the tale within the desert and deftly wield a sword. while her father, Jared, fails to come from a courier venture and is said useless, the Commander assigns Rachel a brand new Protector, her father's apprentice, Logan--the related boy Rachel declared her love for 2 years in the past, and a similar boy who passed her middle correct again to her. Left with not anything yet fierce trust in her father's survival, Rachel comes to a decision to flee and locate him herself. yet treason opposed to the Commander consists of a heavy expense, and what awaits her within the desolate tract might break her.

At nineteen, Logan McEntire is many stuff. Orphan. Outcast. Inventor. As apprentice to the city's most sensible courier, Logan is concentrated on studying his alternate so he can break out the tyranny of Baalboden. yet his plan by no means integrated being liable for his mentor's impulsive daughter. Logan is decided to guard her, but if his get away plan is going flawed and Rachel can pay the associated fee, he realizes he has extra at stake than disappointing Jared.

As Rachel and Logan conflict their manner in the course of the desert, stalked by way of a monster that can't be killed and a military of assassins out for blood, they detect romance, heartbreak, and a fact that would incite a struggle a long time within the making.</span>

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5 [Quinlan, 1993a]. , 1992]. , 1988; Botta and Giordana, 1993; Botta and Giordana, 1996], that allows the induction process to be guided by the background knowledge of a domain expert. SMART+ is a complex system capable of learning in First Order Logics as well as in Propositional Calculus (as in the present case), here, we only describe the subset of it that was used in this application. As well as GRDT (see chapter 4), FOIL [Quinlan, 1990] and FOCL [Pazzani and Kibler, 1992], SMART+ uses a general to specific learning strategy.

The approach explained in this as well as in the following two sections is characterized by working off-line on a set of examples that can be the same instances used to induce the approximator. The learning rules applied are variants of gradient descent; they are said to work off-line because the update of the parameters becomes effective after seeing the whole learning set. (Y - y)2 denote the square error exhibited by an approximation y = f* (x) of the function Y = j(x) for a specific input x.

Figure 8a shows the initial approximation of a target function built by CART: the function is approximated by means of a histogram. Figure 8b shows the approximation obtained by using the fuzzy controller produced by converting the tree built by CART into a set of fuzzy rules. At last, figure 8c shows the final approximation of the target signal obtained by refining the fuzzy controller on-line. Learning Function Approximators (a) (b) 41 (c) Figure 8 Approximation of the control function Vz obtained using: (a) CART only; (b) after transforming the tree of CART into a fuzzy Controller; (c) after training the fuzzy controller performing the error gradient descent.

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