The chapter also focuses on a more general problem in which a linear classifier cannot classify correctly all vectors, but seeks ways to design an optimal linear classifier by adopting an appropriate optimality criterion.
A linear classifier can classify linear separable samples, but cannot classify linearly inseparable samples efficiently.
This method cannot classify various types of jamming attacks.
However, concurrent and counter current systems could only separate materials with sharp difference in size, density and terminal velocity and cannot classify materials.
Since the traditional machine learning techniques are not able to consider the pattern formation of classes, they cannot classify the new instance y (white color vertex) correctly.
Consequently, CD86 cannot classify skin sensitizers, using a system based on MUTZ-3 cells.
Further, it has been suggested that these "ideal" criteria cannot classify the majority of the UVs [ 37].
However, the AST-GN13 card cannot classify organisms as susceptible to ertapenem without the dilutions less than 0.5g/ml.
However, similarity-based methods rely on reference databases that contain sequences of known genomes, so these methods cannot classify the majority of sequences that were from unknown genomes without close references.
