The phrase "efficiently learning" is correct and usable in written English.
It can be used when discussing the process of acquiring knowledge or skills in a manner that maximizes effectiveness and minimizes wasted effort.
Example: "The new software is designed for efficiently learning complex algorithms in a short amount of time."
Alternatives: "learning effectively" or "learning in an efficient manner."
Specifically, we proposed a novel ℓ2,1 norm balanced multiple kernel feature selection (ℓ2,1 MKFS), and designed a proximal based optimization algorithm for efficiently learning the model.
The remainder of this paper provides detailed information about these projects and discusses how they can be utilized together to build an architecture capable of efficiently learning from data of this magnitude.
Ebbinhaus' quarry was the recipe for a perfect memory -- or at least for the formula for most efficiently learning new information.
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies.
"What do they really need to know before graduating from medical school, and how could they most efficiently learn?" Dr. Drybye asked, reflecting on one of the central challenges of medical education.
We propose a programming by demonstration method to efficiently learn and adapt such skills.
This information allows to perform an active exploration that efficiently learns good grasping points even among different objects.
The proposed algorithm can efficiently learn a quality Bayesian network with tree-width at most k.
Auto-encoders are one kinds of promising non-probabilistic representation learning paradigms that can efficiently learn stable deterministic features.
Here we propose a Metropolis–Hastings approach that uses a novel type of graph grammar to efficiently learn proposal distributions in a data driven fashion.
Reinforcement learning is a plausible theoretical basis for developing self-learning, autonomous agents or robots that can effectively represent the world dynamics and efficiently learn the problem features to perform different tasks in different environments.
