557 search results - page 22 / 112 » Learning programs from noisy data |
153
Voted
TVCG
2010
15 years 24 days ago
2010
—With the proliferation of motion capture data, interest in removing noise and outliers from motion capture data has increased. In this paper, we introduce an efficient human mo...
109
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EUROCOLT
1999
Springer
15 years 6 months ago
1999
Springer
The present paper motivates the study of mind change complexity for learning minimal models of length-bounded logic programs. It establishes ordinal mind change complexity bounds ...
111
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
We describe a new method for learning the conditional probability distribution of a binary-valued variable from labelled training examples. Our proposed Compositional Noisy-Logica...
139
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ICML
2007
IEEE
16 years 3 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...
123
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NIPS
2003
15 years 3 months ago
2003
Learning from ambiguous training data is highly relevant in many applications. We present a new learning algorithm for classification problems where labels are associated with se...