That is, a given test requires an input vector with five components.

Parity functions: their value is 1 if the input vector has odd number of ones.

Here, general means maximizing the number of input vectors that the condition matches.

On the basis of the code, the input vectors of are partitioned.

The input vector is revealed a little at a time to simulate the temporal nature of speech.

Each weight vector is of the same dimension as the node's input vector.

Consequently our input vectors will have three components, each corresponding to a color space.

Full state feedback is utilized by commanding the input vector .

So is an operator that advances the input vector by 1.

The learned metric causes the input vector to be surrounded by training instances of the same class.