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ICML
2004
IEEE
16 years 2 months ago
Learning random walk models for inducing word dependency distributions
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
Kristina Toutanova, Christopher D. Manning, Andrew...
IEEEPACT
2007
IEEE
15 years 8 months ago
L1 Cache Filtering Through Random Selection of Memory References
Distinguishing transient blocks from frequently used blocks enables servicing references to transient blocks from a small fully-associative auxiliary cache structure. By inserting...
Yoav Etsion, Dror G. Feitelson
DAGM
2004
Springer
15 years 7 months ago
Learning from Labeled and Unlabeled Data Using Random Walks
We consider the general problem of learning from labeled and unlabeled data. Given a set of points, some of them are labeled, and the remaining points are unlabeled. The goal is to...
Dengyong Zhou, Bernhard Schölkopf
ICASSP
2010
IEEE
15 years 2 months ago
Language recognition using deep-structured conditional random fields
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...
Dong Yu, Shizhen Wang, Zahi Karam, Li Deng
CAL
2008
15 years 2 months ago
Randomized Partially-Minimal Routing on Three-Dimensional Mesh Networks
Abstract-- This letter presents a new oblivious routing algorithm for 3D mesh networks called Randomized PartiallyMinimal (RPM) routing that provably achieves optimal worstcase thr...
Rohit Sunkam Ramanujam, Bill Lin