Design of Output Codes for Fast Covering Learning using Basic Decomposition Techniques
نویسندگان
چکیده
منابع مشابه
Fast Reinforcement Learning with Large Action Sets Using Error-Correcting Output Codes for MDP Factorization
The use of Reinforcement Learning in real-world scenarios is strongly limited by issues of scale. Most RL learning algorithms are unable to deal with problems composed of hundreds or sometimes even dozens of possible actions, and therefore cannot be applied to many real-world problems. We consider the RL problem in the supervised classification framework where the optimal policy is obtained thr...
متن کاملneural classifier ensemble using error-correcting output codes: access control application
abstract biometric access control is an automatic system that intelligently provides the access of special actions to predefined individuals. it may use one or more unique features of humans, like fingerprint, iris, gesture, 2d and 3d face images. 2d face image is one of the important features with useful and reliable information for recognition of individuals and systems based on this ...
Flexibility in Architecture: An Innovative Design for Covering of a Transformable Dome Using Kinetic Elements
Flexibility is a concept associated with variable needs of human beings.Today transformable structures are used to meet human changeable demands with different purposes and functions such as facades, roofs, sunshades, etc.A Flexible structure must be able to change physically and adapt to predetermined conditions.To provide flexibility and adaptability,transformable systems are required to poss...
متن کاملInequalities for covering codes
Any code C with covering radius R must satisfy a set of linear inequalities that involve the Lloyd polynomial L R (x) ; these generalize the sphere bound. The "syndrome graphs" associated with a linear code C help to keep track of low weight vectors in the same coset of C (if there are too many such vectors C cannot exist). As illustrations it is shown that t[17,10] = 3 and t[23,15] = 3, where ...
متن کاملUsing output codes to boost multiclass learning problems
This paper describes a new technique for solving multiclass learning problems by combining Freund and Schapire’s boosting algorithm with the main ideas of Dietterich and Bakiri’s method of error-correcting output codes (ECOC). Boosting is a general method of improving the accuracy of a given base or “weak” learning algorithm. ECOC is a robust method of solving multiclass learning problems by re...
متن کاملذخیره 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 Computer Science
سال: 2006
ISSN: 1549-3636
DOI: 10.3844/jcssp.2006.565.571