AbstractWe study the problem of properly learning unions of two axis-parallel rectangles over the domain {0, n−1}2 in the on-line model with equivalence queries. When only O(logn) equivalence queries are allowed, this problem is one of the five interesting open problems proposed by W. Maass and G. Turán (Mach. Learning14, 1994, 251–269), regarding learning geometric concepts. In this paper, we design an efficient algorithm that properly learns unions of two rectangles over the domain {0, n−1}2 using O(log2n) equivalence queries
AbstractThis paper investigates efficient learning of TPk, the class of collections of at most k fir...
The concept class of geometric patterns has been heavily studied and has applications in pattern rec...
AbstractWe present efficient on-line algorithms for learning unions of a constant number of tree pat...
AbstractWe study the problem of properly learning unions of two axis-parallel rectangles over the do...
We investigate the efficient learnability of unions of k rectangles in the discrete plane (1,...,n)[...
Abstract. We design efficient algorithms for on-line learning of axis-parallel rectangles (and for t...
We first present an algorithm that uses membership and equivalence queries to exactly identify a di...
We consider the problem of learning unions of rectangles over the domain [b]n, in the uniform distri...
We present two algorithms that use membership and equivalence queries to exactly identify the concep...
AbstractWe consider the problem of learning unions of rectangles over the domain [b]n, in the unifor...
Abstract. The complexity of on-line learning is investigated for the basic classes of geometrical ob...
This archive is provided as artifact material for the article "Learning Union of Integer Hypercubes ...
AbstractWe investigate the number of membership queries that are needed to identify polygons (i.e., ...
AbstractIn Valiant's protocol for learning, the classes of functions which are known learnable in po...
AbstractIn this paper, we extend Valiant's (Comm. ACM27 (1984), 1134–1142) sequential model of conce...
AbstractThis paper investigates efficient learning of TPk, the class of collections of at most k fir...
The concept class of geometric patterns has been heavily studied and has applications in pattern rec...
AbstractWe present efficient on-line algorithms for learning unions of a constant number of tree pat...
AbstractWe study the problem of properly learning unions of two axis-parallel rectangles over the do...
We investigate the efficient learnability of unions of k rectangles in the discrete plane (1,...,n)[...
Abstract. We design efficient algorithms for on-line learning of axis-parallel rectangles (and for t...
We first present an algorithm that uses membership and equivalence queries to exactly identify a di...
We consider the problem of learning unions of rectangles over the domain [b]n, in the uniform distri...
We present two algorithms that use membership and equivalence queries to exactly identify the concep...
AbstractWe consider the problem of learning unions of rectangles over the domain [b]n, in the unifor...
Abstract. The complexity of on-line learning is investigated for the basic classes of geometrical ob...
This archive is provided as artifact material for the article "Learning Union of Integer Hypercubes ...
AbstractWe investigate the number of membership queries that are needed to identify polygons (i.e., ...
AbstractIn Valiant's protocol for learning, the classes of functions which are known learnable in po...
AbstractIn this paper, we extend Valiant's (Comm. ACM27 (1984), 1134–1142) sequential model of conce...
AbstractThis paper investigates efficient learning of TPk, the class of collections of at most k fir...
The concept class of geometric patterns has been heavily studied and has applications in pattern rec...
AbstractWe present efficient on-line algorithms for learning unions of a constant number of tree pat...