2245 search results - page 102 / 449 » Metrics that Learn Relevance |
KDD
1995
ACM
14 years 1 months ago
1995
ACM
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
MIR
2004
ACM
14 years 3 months ago
2004
ACM
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...
ISNN
2011
Springer
13 years 1 months ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
WWW
2009
ACM
14 years 11 months ago
2009
ACM
Measuring the similarity between semantic relations that hold among entities is an important and necessary step in various Web related tasks such as relation extraction, informati...
PERSUASIVE
2009
Springer
14 years 4 months ago
2009
Springer
This paper presents a new model for understanding human behavior. In this model (FBM), behavior is a product of three factors: motivation, ability, and triggers, each of which has...