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JMLR
2012
13 years 9 months ago
Deep Boltzmann Machines as Feed-Forward Hierarchies
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Grégoire Montavon, Mikio L. Braun, Klaus-Ro...
ACL
2012
13 years 9 months ago
Lemmatisation as a Tagging Task
We present a novel approach to the task of word lemmatisation. We formalise lemmatisation as a category tagging task, by describing how a word-to-lemma transformation rule can be ...
Andrea Gesmundo, Tanja Samardzic
CORR
2011
Springer
210views Education» more  CORR 2011»
15 years 2 months ago
Competitive and Deterministic Embeddings of Virtual Networks
Network virtualization is a paradigm that allows for flexible and efficient allocation of the resources among multiple virtual networks (VNets). In this paper we deal with the p...
Guy Even, Moti Medina, Gregor Schaffrath, Stefan S...
AI
2008
Springer
15 years 9 months ago
A Statistical Model for Topic Segmentation and Clustering
This paper presents a statistical model for discovering topical clusters of words in unstructured text. The model uses a hierarchical Bayesian structure and it is also able to iden...
M. Mahdi Shafiei, Evangelos E. Milios
EURODAC
1994
IEEE
138views VHDL» more  EURODAC 1994»
15 years 11 months ago
A VHDL-based bus model for multi-PCB system design
In the development of bus-based systems and individual PCB boards interfacing to a bus, the simulation usually requires a specific test bench or creation of quite complex stimuli....
Jari Toivanen, Jari Honkola, Jari Nurmi, Jyrki Tuo...