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ICML
2003
IEEE
16 years 7 months ago
Transductive Learning via Spectral Graph Partitioning
We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier. Unlike for many other transductive learning me...
Thorsten Joachims
ICML
2003
IEEE
16 years 7 months ago
Weighted Low-Rank Approximations
We study the common problem of approximating a target matrix with a matrix of lower rank. We provide a simple and efficient (EM) algorithm for solving weighted low-rank approximat...
Nathan Srebro, Tommi Jaakkola
CP
2009
Springer
16 years 7 months ago
Propagator Groups
This paper introduces propagator groups as an abstraction for controlling the execution of propagators as implementations of constraints. Propagator groups enable users of a constr...
Mikael Z. Lagerkvist, Christian Schulte
HPCA
2004
IEEE
16 years 7 months ago
Creating Converged Trace Schedules Using String Matching
This paper focuses on generating efficient software pipelined schedules for in-order machines, which we call Converged Trace Schedules. For a candidate loop, we form a string of t...
Satish Narayanasamy, Yuanfang Hu, Suleyman Sair, B...
VLDB
2006
ACM
162views Database» more  VLDB 2006»
16 years 7 months ago
Dependency trees in sub-linear time and bounded memory
We focus on the problem of efficient learning of dependency trees. Once grown, they can be used as a special case of a Bayesian network, for PDF approximation, and for many other u...
Dan Pelleg, Andrew W. Moore