Sciweavers

161 search results - page 10 / 33
» Trace data characterization and fitting for Markov modeling
Sort
View
ICML
2007
IEEE
14 years 8 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ISMIR
2005
Springer
151views Music» more  ISMIR 2005»
14 years 1 months ago
Markov Random Fields and Maximum Entropy Modeling for Music Information Retrieval
Music information retrieval is characterized by a number of various user information needs. Systems are being developed that allow searchers to find melodies, rhythms, genres, an...
Jeremy Pickens, Costas S. Iliopoulos
IROS
2006
IEEE
202views Robotics» more  IROS 2006»
14 years 1 months ago
Topological characterization of mobile robot behavior
— We propose to classify the behaviors of a mobile robot thanks to topological methods as an alternative to metric ones. To do so, we adapt an analysis scheme from Physics of non...
Aurélien Hazan, Frédéric Dave...
FUIN
2002
63views more  FUIN 2002»
13 years 7 months ago
Probabilistic Cluster Unfoldings
Abstract. This article introduces probabilistic cluster branching processes, a probabilistic unfolding semantics for untimed Petri nets, with no structural or safety assumptions, g...
Stefan Haar
FAST
2010
13 years 10 months ago
Discovery of Application Workloads from Network File Traces
An understanding of application I/O access patterns is useful in several situations. First, gaining insight into what applications are doing with their data at a semantic level he...
Neeraja J. Yadwadkar, Chiranjib Bhattacharyya, K. ...