(2008). Compound cue processing in linearly and nonlinearly separable environments. Psychological Record, 58(2), 10.HOFFRAGE, U., GARCIA-RETAMERO, R., & CZIENSKOWSKI, U. (2008). Compound cue processing in linea
Luksan, L., Vlcek, J.: Sparse and partially separable test problems for unconstrained and equality constrained optimization. Institute of Computer Science, Academy of Sciences of the Czech Republic, Technical Report 767 (1999) Dolan, E.D., More, J.J.: Benchmarking optimization software with...
Linear separability Some datasets are not linearly separable ! Addressing non-linearly separable data – Option 1 , non-linear featuresGuestrin, Carlos
Kaur P, Soni D, Gosain DA, India II (2012) Novel intuitionistic fuzzy C-means clustering for linearly and nonlinearly separable data. WSEAS Trans Comput 11(3):65–76Kaur, P, Soni, D, Gosain, DA, India, II (2012) Novel intuitionistic fuzzy C-means clustering for linearly and nonlinearly...
By the proposed algorithm, the topological equivalence classes of all balanced linearly separable Boolean functions and the number of Boolean functions in each of the topological equivalence classes are obtained. In addition, the properties of conformal transformation also show an application prospect for...
By the proposed algorithm, the topological equivalence classes of all balanced linearly separable Boolean functions and the number of Boolean functions in each of the topological equivalence classes are obtained. In addition, the properties of conformal transformation also show an appli...
linearly separable.Numerical illustrations show that few iteration steps are sufficient for convergence when classes are linearly separable.For nonlinearly separable data,given a specified maximum number of iteration steps,the algorithm returns the best hyperplane that minimizes the number of misclassified ...