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AAAI
2011
12 years 7 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
CHI
1995
ACM
13 years 11 months ago
The ScienceWare Modeler: a learner-centered tool for students building models
The Modeler is designed using a learner-centered approach [5], with scaffolding to address the specific needs of learners. Scaffolding [3] is an educational term that refers to pro...
Shari L. Jackson
SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
14 years 7 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray
EELC
2006
121views Languages» more  EELC 2006»
13 years 11 months ago
Symbol Grounding Through Cumulative Learning
Abstract. We suggest that the primary motivation for an agent to construct a symbol-meaning mapping is to solve a task. The meaning space of an agent should be derived from the tas...
Samarth Swarup, Kiran Lakkaraju, Sylvian R. Ray, L...
CSE
2009
IEEE
13 years 11 months ago
Real Time Rectification for Stereo Correspondence
Duplicating the full dynamic capabilities of the human eye-brain combination is a difficult task but an important goal because of the wide application that a system which can acqu...
Khurram Jawed, John Morris, Tariq Khan, Georgy L. ...