Automatic parameter tuning for functional regionalization methods

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

Descent Methods for Tuning Parameter Refinement

This paper addresses multidimensional tuning parameter selection in the context of “train-validate-test” and K-fold cross validation. A coarse grid search over tuning parameter space is used to initialize a descent method which then jointly optimizes over variables and tuning parameters. We study four regularized regression methods and develop the update equations for the corresponding descent ...

متن کامل

Automatic Parameter Tuning of Hierarchical Incremental Checkpointing

As future HPC systems become larger, the failure rates and the cost of checkpointing to the global file system are expected to increase. To solve this problem, this paper proposes a hierarchical incremental CPR mechanism that utilizes a hierarchical storage system of local storages and global storages. Then, to adjust the parameters of the proposed mechanism, a runtime autotuning technique is p...

متن کامل

Efficient and Robust Parameter Tuning for Heuristic Algorithms

The main advantage of heuristic or metaheuristic algorithms compared to exact optimization methods is their ability in handling large-scale instances within a reasonable time, albeit at the expense of losing a guarantee for achieving the optimal solution. Therefore, metaheuristic techniques are appropriate choices for solving NP-hard problems to near optimality. Since the parameters of heuristi...

متن کامل

The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods

Article history: 15 November 2009 Revised 10 October 2010 Accepted 23 November 2010 Available online 25 November 2010 Communicated by Martin Vetterli

متن کامل

Automatic playtesting for game parameter tuning via active learning

Game designers use human playtesting to gather feedback about game design elements when iteratively improving a game. Playtesting, however, is expensive: human testers must be recruited, playtest results must be aggregated and interpreted, and changes to game designs must be extrapolated from these results. Can automated methods reduce this expense? We show how active learning techniques can fo...

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: Papers in Regional Science

سال: 2016

ISSN: 1056-8190

DOI: 10.1111/pirs.12199