A Useful Distilling Head.

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Distilling nonlocality.

Two parts of an entangled quantum state can have a correlation, in their joint behavior under measurements, that is unexplainable by shared classical information. Such correlations are called nonlocal and have proven to be an interesting resource for information processing. Since nonlocal correlations are more useful if they are stronger, it is natural to ask whether weak nonlocality can be amp...

متن کامل

Distilling a Language for Cyberspace

In the past twenty years the Internet has grown, from text -entry green-screen communication between the military, a few universities and res earchers, to a visually-based mass communication and advertising medium and even a tool for political activists. This growth has been ad hoc, spectacular and peripatetic. The advent of the GUI into mainstream computing was the point at which the Internet ...

متن کامل

Distilling GeneChips

EDITORIAL Editorial I was not able to attend GECCO this year, but everybody told me it was as great as usual and I am sure that all the people who attended it enjoyed it a lot! I had not spent the second week of July in Milan since 2000, when I could not attend GECCO-2000 in Las Vegas. Thus, spending the GECCO week at work while all my friends were enjoying themselves in Philly, has been kind o...

متن کامل

Distilling Intractable Generative Models

A generative model’s partition function is typically expressed as an intractable multi-dimensional integral, whose approximation presents a challenge to numerical and Monte Carlo integration. In this work, we propose a new estimation method for intractable partition functions, based on distilling an intractable generative model into a tractable approximation thereof, and using the latter for pr...

متن کامل

Distilling Model Knowledge

Top-performing machine learning systems, such as deep neural networks, large ensembles and complex probabilistic graphical models, can be expensive to store, slow to evaluate and hard to integrate into larger systems. Ideally, we would like to replace such cumbersome models with simpler models that perform equally well. In this thesis, we study knowledge distillation, the idea of extracting the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Industrial & Engineering Chemistry

سال: 1917

ISSN: 0095-9014,1943-2968

DOI: 10.1021/ie50094a020