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ACL
2003
14 years 11 months ago
Uncertainty Reduction in Collaborative Bootstrapping: Measure and Algorithm
This paper proposes the use of uncertainty reduction in machine learning methods such as co-training and bilingual bootstrapping, which are referred to, in a general term, as ‘c...
Yunbo Cao, Hang Li, Li Lian
EUSFLAT
2003
205views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
The use of NNPLS algorithm for on-line calibration monitoring
The paper presents a specialised Partial Least Squares (PLS) algorithm for on-line calibration monitoring. At first, the basic scheme and philosophy of PEANO (Process Evaluation a...
Andreas Kirschner
AAAI
1998
14 years 11 months ago
Procedural Help in Andes: Generating Hints Using a Bayesian Network Student Model
One of the most important problems for an intelligent tutoring system is deciding how to respond when a student asks for help. Responding cooperatively requires an understanding o...
Abigail S. Gertner, Cristina Conati, Kurt VanLehn
SODA
2003
ACM
127views Algorithms» more  SODA 2003»
14 years 11 months ago
The set-associative cache performance of search trees
We consider the costs of access to data stored in search trees assuming that those memory accesses are managed with a cache. Our cache memory model is two-level, has a small degre...
James D. Fix
GECCO
2008
Springer
109views Optimization» more  GECCO 2008»
14 years 11 months ago
Focused no free lunch theorems
Proofs and empirical evidence are presented which show that a subset of algorithms can have identical performance over a subset of functions, even when the subset of functions is ...
Darrell Whitley, Jonathan E. Rowe