263 search results - page 4 / 53 » Splitting of Learnable Classes |
IJCAI
2007
14 years 10 months ago
2007
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
FOCS
1993
IEEE
15 years 1 months ago
1993
IEEE
Learnability in Valiant’s PAC learning model has been shown to be strongly related to the existence of uniform laws of large numbers. These laws define a distribution-free conver...
80
Voted
SIGSOFT
2008
ACM
15 years 10 months ago
2008
ACM
To better understand what makes Application Programming Interfaces (APIs) hard to use and how to improve them, recent research has begun studying programmers' strategies and ...
ALT
2009
Springer
15 years 6 months ago
2009
Springer
In this paper we consider uncountable classes recognizable by ω-automata and investigate suitable learning paradigms for them. In particular, the counterparts of explanatory, vac...
COLT
1999
Springer
15 years 1 months ago
1999
Springer
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...