667 search results - page 85 / 134 » Learning to Model Sequences Generated by Switching Distribut... |
131
click to vote
SDM
2007
SIAM
15 years 5 months ago
2007
SIAM
We present a new approach for dealing with distribution change and concept drift when learning from data sequences that may vary with time. We use sliding windows whose size, inst...
164
click to vote
QEST
2009
IEEE
15 years 10 months ago
2009
IEEE
—Traviando is a trace analyzer and visualizer for simulation traces of discrete event dynamic systems. In this paper, we briefly outline recent extensions of Traviando towards a...
136
Voted
ICGI
1998
Springer
15 years 8 months ago
1998
Springer
We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). W...
160
click to vote
ILP
1999
Springer
15 years 8 months ago
1999
Springer
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
153
click to vote
MM
2009
ACM
15 years 10 months ago
2009
ACM
We propose a novel technique for semi-supervised image annotation which introduces a harmonic regularizer based on the graph Laplacian of the data into the probabilistic semantic ...