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ACL
2003
15 years 4 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»
15 years 4 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
15 years 4 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»
15 years 4 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»
15 years 4 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