Fuzzy rule-based classification system (FRBCS) is a popular machine learning technique for classification purposes. One of the major issues when applying it on imbalanced data sets is its biased to the majority class, such that, it performs poorly in respect to the minority class. However many cases the minority classes are more important than the majority ones. In this paper, we have extended ...

ion Abstraktion Acceptance problem Akzeptanz-Problem Accepted akzeptiert Accepting state akzeptierender Zustand Ackermann function Ackermann-Funktion Algorithm Algorithmus Alphabet Alphabet Ambiguity problem Zweideutigkeitsproblem Amortized analysis amortisierte Analyse Application Anwendung Argument (Funktions-)Argument Automaton (endlicher) Automat Automaton language (L(M)) die Sprache eines ...

We present an improved simulation of space and reversal bounded Turing machines by width and depth bounded uniform circuits. (All resource bounds hold simultaneously.) An S(n) space, R(n) reversal bounded deterministic k-tape Turing machine can be simulated by a uniform circuit of O(R(n) log2S(n)) depth and O(S(n) k) width. Our proof is cleaner, and has slightly better resource bounds than the ...

We associate the iterated block product of a bimachine with a deterministic Turing machine. This allows us to introduce new algebraic notions to study the behavior of the Turing machine. Namely, we introduce double semidirect products through matrix multiplication of upper triangular matrices with coefficients in certain semigroups, which leads in turn to the study of the iterations of bimachin...