2252 search results - page 264 / 451 » A distributed machine learning framework |
108
Voted
NIPS
2007
15 years 4 months ago
2007
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
169
Voted
ALT
2009
Springer
15 years 11 months ago
2009
Springer
Abstract. We analyze the expected cost of a greedy active learning algorithm. Our analysis extends previous work to a more general setting in which different queries have differe...
222
Voted
COMPGEOM
2011
ACM
14 years 6 months ago
2011
ACM
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
119
Voted
CIKM
2008
Springer
15 years 4 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
124
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...