Inductive Biases of Algorithms

• Rote Learner - no inductive bias
• Candidate Elimination - the target concept can be represented in its hypothesis space - can classify some instances that the Rote Learner will not.
• Find-S - in addition that all instances are negative instances until the opposite is entailed by its other knowledge.
• More strongly biased methods make more inductive leaps - Is this good or bad??