1172 search results - page 124 / 235 » From Data Distributions to Regularization in Invariant Learn... |
108
Voted
NPL
1998
15 years 3 months ago
1998
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
133
Voted
KDD
2007
ACM
16 years 4 months ago
2007
ACM
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
149
click to vote
ECCV
2002
Springer
16 years 5 months ago
2002
Springer
Abstract. In many vision problems, the observed data lies in a nonlinear manifold in a high-dimensional space. This paper presents a generic modelling scheme to characterize the no...
179
Voted
JMLR
2012
13 years 6 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
105
click to vote
ATAL
2007
Springer
15 years 10 months ago
2007
Springer
We examine data collected from on-line assessments of the numeracy and literacy skills of young students in order to construct probabilistic agent-based controllers. We demonstrat...