2884 search results - page 272 / 577 » Evaluating learning algorithms and classifiers |
105
Voted
ADC
2006
Springer
15 years 6 months ago
2006
Springer
This paper presents an original approach to modelling user’s information need in text filtering environment. This approach relies on a specific novelty detection model which a...
100
Voted
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. Greedy machine learning algorithms suffer from shortsightedness, potentially returning suboptimal models due to limited exploration of the search space. Greedy search mis...
103
Voted
ECIR
2010
Springer
15 years 1 months ago
2010
Springer
Abstract. This paper explores how to predict query difficulty for contextual image retrieval. We reformulate the problem as the task of predicting how difficult to represent a quer...
150
Voted
CORR
2011
Springer
14 years 7 months ago
2011
Springer
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
DIS
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. An important task in many scientific and engineering disciplines is to set up experiments with the goal of finding the best instances (substances, compositions, designs) ...