Significados de inverse deduction en inglés

In other words, you could use genetic search to do inverse deduction.

The symbolists' characteristic search algorithm is inverse deduction.

Combining these is where inverse deduction can shine.

Despite the popularity of decision trees, inverse deduction is the better starting point for the Master Algorithm.

In the meantime, one important application of inverse deduction is predicting whether new drugs will have harmful side effects.

Relational learning has a long history, going back to at least the seventies and symbolist techniques like inverse deduction.

Another limitation of inverse deduction is that it's very computationally intensive, which makes it hard to scale to massive data sets.

The symbolists' master algorithm, inverse deduction, postulates new logical rules needed to serve as steps between the data and a desired conclusion.

We need to reason with larger chunks, assembling and reassembling them as needed and using inverse deduction to fill in the gaps.

More generally, inverse deduction is a great way to discover new knowledge in biology, and doing that is the first step in curing cancer.

In inverse deduction, we figure out one step at a time what new rules are needed to arrive at the desired conclusion from the premises.

The dense ranks of instances end abruptly, and you find yourself in the inverse deduction district, a place of broad avenues and ancient stone buildings.

It then uses inverse deduction to hypothesize which genes are expressed as which proteins, designs microarray experiments to test them, revises its hypotheses, and repeats.