—Sexual size dimorphism and determination of sex in Atlantic yellow-legged gulls Larus michahellis lusitanius from Northern Spain. Aims: We evaluate sexual size dimorphism in Atlantic yellow-legged gulls Larus michahellis lusitanius and provide a discriminant function to sex gulls in hand. Location: Two islands of the Basque Country (Northern Spain). Methods: Incubating gulls were trapped, band...

According to Hermite there exists only a finite number of number fields having a given degree, and a given value of the discriminant, nevertheless this number is not known generally. The determination of a maximum number of number fields of degree 10 having a given discriminant that contain a subfield of degree 5 having a fixed class number, narrow class number and Galois group is the purpose o...

Leli and Filskov (1979) reported cross-validated classification accuracy that equalled 83% for a discriminant function derived on two measures of intellectual deterioration. This investigation made a preliminary assessment of the clinical utility of this function through a clinical-actuarial classification paradigm. Wechsler-Bellevue Intelligence Scale Form I protocols from 12 nonpsychotic noni...

We compute the p-adic regulator of cyclic cubic extensions of Q with discriminant up to 1016 for 3 < p < 100, and observe the distribution of the p-adic valuation of the regulators. We find that for almost all primes the observation matches the model that the entries in the regulator matrix are random elements with respect to the obvious restrictions. Based on this random matrix model a conject...

Partial least squares regression on functional data is applied in the context of linear discriminant analysis with binary response. The discriminant coefficient function is then used to compute scores which allow to assign a new curve to one of the two classes. The method is applied to gait data and the results are compared with those given by linear discriminant analysis and logistic regressio...

Shinmura [12, 13, 14] proposes an optimal linear discriminant function (OLDF) using integer programming (IP) called as IP-OLDF based on the minimum number of misclassifications (MNM) criterion. It is defined on the data and discriminant coefficient spaces. We can understand the relation of a linear discriminant function (LDF) and NM clearly. This basic knowledge tells us several new facts of th...

In this paper a novel approach to performing classification is presented. Hypersurface Discriminant functions are evolved using Genetic Programming. These discriminant functions reside in the states of a Finite State Automata, which has the ability to reason1 and logically combine the hypersurfaces to generate a complex decision space. An object may be classified by one or many of the discrimin...

In this paper, we study discriminant function based minimum recognition error rate pattern recognition approach. This approach departs from the conventional paradigm which links a classification/recognition task to the problem of distribution estimation. Instead, it takes a discriminant function based statistical pattern recognition approach and the goodness of this approach to classification e...

Let F be the cubic field of discriminant −23 and let O ⊂ F be its ring of integers. By explicitly computing cohomology of congruence subgroups of GL2(O), we computationally investigate modularity of elliptic curves over F .