Classifying under computational resource constraints: anytime classification using probabilistic estimators

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

Anytime Classification Classifying under Computational Resource Constraints: Anytime Classification Using Probabilistic Estimators

In many online applications of machine learning, the computational resources available for classification will vary from time to time. Existing techniques are designed to operate within the constraints of the minimum expected resources and fail to utilize further resources when they are available. This paper presents an analysis of the relevant categories of computational resource involved and ...

متن کامل

Learning classifiers that perform probabilistic classification under computational resource constraints

Existing online machine learning techniques are often tuned to minimized computational resources, and are not able to utilize further resources when they are available. This is likely to result in sub-optimal learning performance in many online applications where the computational resources available will vary from time to time. This paper analyzes categories of computational resources and defi...

متن کامل

Learning probabilistic classifiers under computational resource constraints

In many online applications of machine learning, the computational resources available will vary from time-to-time. Surprisingly, existing techniques are designed to accommodate the minimum expected resources, and fail to utilize further resources when they are available. This paper presents an analysis of the relevant categories of computational resource involved, and presents an algorithm tha...

متن کامل

Adaptive classification under computational budget constraints using sequential data gathering

Classification algorithms often handle large amounts of labeled data. When a label is the result of a very expensive computer experiment (in terms of computational time), sequential selection of samples can be used to limit the overall cost of acquiring the labeled data. This paper outlines the concept of sequential design for classification, and the extension of an existing stateof-the-art res...

متن کامل

Reasoning about Beliefs and Actions Under Computational Resource Constraints

Reasoning About Beliefs and Actions Under Computational Resource Constraints

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: Machine Learning

سال: 2007

ISSN: 0885-6125,1573-0565

DOI: 10.1007/s10994-007-5020-z