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ACL
2008
15 years 1 months ago
Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
Gideon S. Mann, Andrew McCallum
NIPS
2004
15 years 1 months ago
Semi-Markov Conditional Random Fields for Information Extraction
We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
Sunita Sarawagi, William W. Cohen
SIGECOM
2009
ACM
92views ECommerce» more  SIGECOM 2009»
15 years 6 months ago
The adwords problem: online keyword matching with budgeted bidders under random permutations
We consider the problem of a search engine trying to assign a sequence of search keywords to a set of competing bidders, each with a daily spending limit. The goal is to maximize ...
Nikhil R. Devenur, Thomas P. Hayes
ICCCN
2008
IEEE
15 years 6 months ago
Publish/Subscribe Service in CAN-based P2P Networks: Dimension Mismatch and The Random Projection Approach
Abstract—CAN is a well-known DHT technique for contentbased P2P networks, where each node is assigned a zone in a virtual coordinate space to store the index of the data hashed i...
Duc A. Tran, Thinh Nguyen
AIPR
2005
IEEE
15 years 5 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman