It was proved by Ben-David and Litman that a concept space with VC dimension d has a sample compression scheme of size d if and only if every finite subspace has a sample compression scheme of size d. In the compactness theorem, measurability of the hypotheses of the created sample compression scheme is not guaranteed; at the same time measurability of the hypotheses is a necessary condition for learnability. In this thesis we discuss when a sample compression scheme, created from com- pression schemes on finite subspaces via the compactness theorem, have measurable hypotheses. We show that if X is a standard Borel space with a d-maximum and universally separable concept class C, then (X,C) has a sample compression scheme of size d with uni...
AbstractWe define embeddings between concept classes that are meant to reflect certain aspects of th...
AbstractA proof that a concept class is learnable provided the Vapnik—Chervonenkis dimension is fini...
A proof that a concept is learnable provided the Vapnik-Chervonenkis dimension is finite is given. T...
In 1998, it was proved by Ben-David and Litman that a concept space has a sample compression scheme ...
Within the framework of pac-learning, we explore the learnability of concepts from samples using the...
Abstract. Within the framework of pac-learning, we explore the learnability of concepts from samples...
This paper presents a construction of a proper and stable labelled sample compression scheme of size...
Maximum concept classes of VC dimension d over n domain points have size � n � ≤d, and this is an up...
Any set of labeled examples consistent with some hidden orthogonal rectan-gle can be \compressed &qu...
. Within the framework of pac-learning, we explore the learnability of concepts from samples using t...
Any set of labeled examples consistent with some hidden orthogonal rectan-gle can be “compressed ” t...
AbstractWe define embeddings between concept classes that are meant to reflect certain aspects of th...
Abstract. Sample compression schemes are schemes for “encoding ” a set of examples in a small subset...
Abstract. We give a compression scheme for any maximum class of VC dimension d that compresses any s...
Abstract. We give a compression scheme for any maximum class of VC dimension d that compresses any s...
AbstractWe define embeddings between concept classes that are meant to reflect certain aspects of th...
AbstractA proof that a concept class is learnable provided the Vapnik—Chervonenkis dimension is fini...
A proof that a concept is learnable provided the Vapnik-Chervonenkis dimension is finite is given. T...
In 1998, it was proved by Ben-David and Litman that a concept space has a sample compression scheme ...
Within the framework of pac-learning, we explore the learnability of concepts from samples using the...
Abstract. Within the framework of pac-learning, we explore the learnability of concepts from samples...
This paper presents a construction of a proper and stable labelled sample compression scheme of size...
Maximum concept classes of VC dimension d over n domain points have size � n � ≤d, and this is an up...
Any set of labeled examples consistent with some hidden orthogonal rectan-gle can be \compressed &qu...
. Within the framework of pac-learning, we explore the learnability of concepts from samples using t...
Any set of labeled examples consistent with some hidden orthogonal rectan-gle can be “compressed ” t...
AbstractWe define embeddings between concept classes that are meant to reflect certain aspects of th...
Abstract. Sample compression schemes are schemes for “encoding ” a set of examples in a small subset...
Abstract. We give a compression scheme for any maximum class of VC dimension d that compresses any s...
Abstract. We give a compression scheme for any maximum class of VC dimension d that compresses any s...
AbstractWe define embeddings between concept classes that are meant to reflect certain aspects of th...
AbstractA proof that a concept class is learnable provided the Vapnik—Chervonenkis dimension is fini...
A proof that a concept is learnable provided the Vapnik-Chervonenkis dimension is finite is given. T...