Decagram

Known as: dag 
A metric unit of mass equal to 10 grams.
National Institutes of Health

Papers overview

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Highly Cited
2010
Highly Cited
2010
Hydro: A Hybrid Routing Protocol for Low-Power and Lossy Networks
Existing routing protocols for sensor networks ei- ther exclusively focus on collection-based traffic, or optimize for point-to… (More)
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Highly Cited
2005
Highly Cited
2005
Lowest common ancestors in trees and directed acyclic graphs
We study the problem of finding lowest common ancestors (LCA) in trees and directed acyclic graphs (DAGs). Specifically, we… (More)
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Highly Cited
1999
Highly Cited
1999
Large Margin DAG's for Multiclass Classification
 
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Highly Cited
1999
Highly Cited
1999
Learning Bayesian Networks from Data: An Efficient Approach Based on Information Theory
This paper addresses the problem of learning Bayesian network structures from data by using an information theoretic dependency… (More)
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Review
1999
Review
1999
Structure and functional properties of diacylglycerols in membranes.
1. 1,2-Diacyl-sn-glycerols (DAG) are minor components of cell membranes (about 1 mole% of the lipids) and yet they are potent… (More)
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Highly Cited
1999
Highly Cited
1999
Parameter Priors for Directed Acyclic Graphical Models and the Characterization of Several Probability Distributions
We show that the only parameter prior for complete Gaussian DAG models that satisfies global parameter independence, complete… (More)
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Highly Cited
1998
Highly Cited
1998
MPEG-4 and rate-distortion-based shape-coding techniques
In this paper, we address the problem of the efficient encoding of object boundaries. This problem is becoming increasingly… (More)
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Highly Cited
1996
Highly Cited
1996
Is it a tree, a DAG, or a cyclic graph? A shape analysis for heap-directed pointers in C
 
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Highly Cited
1994
Highly Cited
1994
Typed Fusion with Applications to Parallel and Sequential Code Generation
Loop fusion is a program transformation that merges multiple loops into one and is an effective optimization both for increasing… (More)
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Highly Cited
1988
Highly Cited
1988
Causal Networks: Semantics and Expressiveness
Dependency knowledge of the form "x is independent ofy once z is known" invariably obeys the four graphoid axioms, examples… (More)
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