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» Learning to Learn Causal Models
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JVA
2006
IEEE
15 years 11 months ago
Describing and Researching of Learning Resources with Ontology Model
In this paper, we will introduce to describe learning resources by using ontology model based on metadata of learning standard as Sharable Content Object Reference Model (SCORM) a...
S. Niwattanakul, M. Eboueya, D. Lillis
155
Voted
ACL
2007
15 years 6 months ago
SVM Model Tampering and Anchored Learning: A Case Study in Hebrew NP Chunking
We study the issue of porting a known NLP method to a language with little existing NLP resources, specifically Hebrew SVM-based chunking. We introduce two SVM-based methods – ...
Yoav Goldberg, Michael Elhadad
BMCBI
2005
153views more  BMCBI 2005»
15 years 4 months ago
Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text
Background: The BioCreative text mining evaluation investigated the application of text mining methods to the task of automatically extracting information from text in biomedical ...
Soumya Ray, Mark Craven
152
Voted
IJON
2000
85views more  IJON 2000»
15 years 4 months ago
Hebbian learning and temporary storage in the convergence-zone model of episodic memory
The Convergence-Zone model shows how sparse, random memory patterns can lead to one-shot storage and high capacity in the hippocampal component of the episodic memory system. This...
Michael Howe, Risto Miikkulainen
133
Voted
ACL
2010
15 years 2 months ago
Learning Lexicalized Reordering Models from Reordering Graphs
Lexicalized reordering models play a crucial role in phrase-based translation systems. They are usually learned from the word-aligned bilingual corpus by examining the reordering ...
Jinsong Su, Yang Liu, Yajuan Lü, Haitao Mi, Q...