275 search results - page 3 / 55 » Improved Guarantees for Learning via Similarity Functions |
EMNLP
2009
13 years 7 months ago
2009
Measuring the similarity between two texts is a fundamental problem in many NLP and IR applications. Among the existing approaches, the cosine measure of the term vectors represen...
MLDM
2005
Springer
14 years 3 months ago
2005
Springer
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
CAV
2010
Springer
14 years 1 months ago
2010
Springer
Abstract. We propose a purely implicit solution to the contextual assumption generation problem in assume-guarantee reasoning. Instead of improving the L∗ algorithm — a learnin...
AIIA
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. Improving accuracy in Information Retrieval tasks via semantic information is a complex problem characterized by three main aspects: the document representation model, th...
COLT
2000
Springer
14 years 2 months ago
2000
Springer
We describe a novel family of PAC model algorithms for learning linear threshold functions. The new algorithms work by boosting a simple weak learner and exhibit complexity bounds...