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ICDM
2008
IEEE
182views Data Mining» more  ICDM 2008»
14 years 2 months ago
Multiple-Instance Regression with Structured Data
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
Kiri L. Wagstaff, Terran Lane, Alex Roper
AAMAS
2005
Springer
13 years 7 months ago
Learning and Exploiting Relative Weaknesses of Opponent Agents
Agents in a competitive interaction can greatly benefit from adapting to a particular adversary, rather than using the same general strategy against all opponents. One method of s...
Shaul Markovitch, Ronit Reger
IJCAI
1997
13 years 9 months ago
A Study of Causal Discovery With Weak Links and Small Samples
Weak causal relationships and small sample size pose two significant difficulties to the automatic discovery of causal models from observational data. This paper examines the infl...
Honghua Dai, Kevin B. Korb, Chris S. Wallace, Xind...
TCS
2008
13 years 7 months ago
The weak lambda calculus as a reasonable machine
We define a new cost model for the call-by-value lambda-calculus satisfying the invariance thesis. That is, under the proposed cost model, Turing machines and the call-by-value la...
Ugo Dal Lago, Simone Martini
JMLR
2010
153views more  JMLR 2010»
13 years 2 months ago
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
Gideon S. Mann, Andrew McCallum