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ICASSP
2010
IEEE
15 years 7 months ago
Learning deep rhetorical structure for extractive speech summarization
Extractive summarization of conference and lecture speech is useful for online learning and references. We show for the first time that deep(er) rhetorical parsing of conference ...
Justin Jian Zhang, Pascale Fung
SAINT
2005
IEEE
16 years 12 days ago
Inductive Logic Programming for Structure-Activity Relationship Studies on Large Scale Data
Inductive Logic Programming (ILP) is a combination of inductive learning and first-order logic aiming to learn first-order hypotheses from training examples. ILP has a serious b...
Cholwich Nattee, Sukree Sinthupinyo, Masayuki Numa...
218
Voted
KES
2008
Springer
15 years 6 months ago
Instruction-based development: From evolution to generic structures of digital circuits
Evolutionary techniques provide powerful tools to design novel solutions for hard problems in different areas. However, the problem of scale (i.e. how to create a large, complex s...
Michal Bidlo, Jaroslav Skarvada
USS
2010
15 years 4 months ago
Structuring Protocol Implementations to Protect Sensitive Data
In a bid to limit the harm caused by ubiquitous remotely exploitable software vulnerabilities, the computer systems security community has proposed primitives to allow execution o...
Petr Marchenko, Brad Karp
JMLR
2011
142views more  JMLR 2011»
15 years 1 months ago
Causal Search in Structural Vector Autoregressive Models
This paper reviews a class of methods to perform causal inference in the framework of a structural vector autoregressive model. We consider three different settings. In the first ...
Alessio Moneta, Nadine Chlass, Doris Entner, Patri...