Sentences with phrase «including machine learning techniques»

Past models have incorporated such information, but the new model could employ modern computational capabilities, including machine learning techniques, to harness and learn from diverse data.

Past models have incorporated such information, but the new model could employ modern computational capabilities, including machine learning techniques, to harness and learn from diverse data.

Not exact matches

AI is the broadest term, applying to any technique that enables computers to mimic human intelligence, using logic, if - then rules, decision trees, and machine learning (including deep learning).

Like all machine learning techniques, deep learning begins with a set of training data — in this case, massive data sets of labeled faces, ideally including multiple photos of each person.

Emerging solutions to lawyers» search problems over the coming decade and beyond could likely include a synthesis of «intelligent search engine» applications culled from the areas of artificial intelligence, neural networks, and other forms of information filtering and machine - learning techniques.

Neota Logic offers a hybrid reasoning platform, which combines expert systems and other artificial intelligence techniques, including on - demand machine learning, to deliver answers to legal, compliance, and policy questions.

Other examples of potential machine learning applications include: the discovery and identification of «non-obvious relationships» within large document collections extracting «subtle but useful patterns that can be employed to automate certain complex tasks»; analysing contracts for both structural aspects and potential correlations **; using automated document clustering techniques to assist in finding «prior art» in patent law cases to determine whether a patent application is new or not.

Self - service compliance — Neota Logic applies its hybrid reasoning platform, which combines expert systems and other reasoning techniques, including on - demand NLP and machine learning, to provide fact - and context - specific answers to legal, compliance, and policy questions.

Scoring employs a combination of a probabilistic decision, computed using a machine learning technique, and absolute rules, including upper and lower probability cut - offs, to determine the final decision as to whether each match denotes or possibly denotes the same person.