3276 search results - page 167 / 656 » Data learning based diagnosis |
105
Voted
SSPR
1998
Springer
15 years 5 months ago
1998
Springer
Properly addressing the discretization process of continuos valued features is an important problem during decision tree learning. This paper describes four multi-interval discreti...
79
Voted
PAKDD
2009
ACM
15 years 8 months ago
2009
ACM
Co-training, a paradigm of semi-supervised learning, may alleviate effectively the data scarcity problem (i.e., the lack of labeled examples) in supervised learning. The standard ...
126
Voted
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
The paper presents a kernel for learning from ordered hypergraphs, a formalization that captures relational data as used in Inductive Logic Programming (ILP). The kernel generaliz...
108
Voted
ECML
2004
Springer
15 years 6 months ago
2004
Springer
In this paper we present a boosting approach to multiple instance learning. As weak hypotheses we use balls (with respect to various metrics) centered at instances of positive bags...
120
Voted
NIPS
1994
15 years 2 months ago
1994
Many real world learning problems are best characterized by an interaction of multiple independent causes or factors. Discovering such causal structure from the data is the focus ...