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...

OBJECTIVE The development and validation of Modified Disease Activity Scores (DAS) that include different 28-joint counts. METHODS These scores were developed by canonical discriminant analyses and validated for criterion, correlational, and construct validity. The influence of disease duration on the composition of the DAS was also investigated. RESULTS No influence of disease duration was...

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 .

Using a new regulator bound we determine unit groups and class groups of the 289040 quintic algebraic number fields with absolute discriminant less than 2 × 107 (totally real fields), respectively 5 × 106 (other signatures). We list significant data.