275 search results - page 3 / 55 » Improved Guarantees for Learning via Similarity Functions |
EMNLP
2009
13 years 3 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
13 years 11 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
13 years 10 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
13 years 11 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
13 years 10 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...