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CVPR
2011
IEEE
11 years 11 months ago
Dynamic Batch Mode Active Learning
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classi´Čüer. When faced with large quantities of unlabeled dat...
Shayok Chakraborty, Vineeth Balasubramanian, Sethu...
PKDD
2010
Springer
164views Data Mining» more  PKDD 2010»
11 years 11 months ago
Complexity Bounds for Batch Active Learning in Classification
Active learning [1] is a branch of Machine Learning in which the learning algorithm, instead of being directly provided with pairs of problem instances and their solutions (their l...
Philippe Rolet, Olivier Teytaud
PAIRING
2010
Springer
155views Cryptology» more  PAIRING 2010»
11 years 11 months ago
Identification of Multiple Invalid Pairing-Based Signatures in Constrained Batches
Abstract. This paper describes a new method in pairing-based signature schemes for identifying the invalid digital signatures in a batch after batch verification has failed. The me...
Brian J. Matt
BMCBI
2008
181views more  BMCBI 2008»
12 years 13 days ago
Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270
Background: Genome-wide association studies (GWAS) aim to identify genetic variants (usually single nucleotide polymorphisms [SNPs]) across the entire human genome that are associ...
Huixiao Hong, Zhenqiang Su, Weigong Ge, Leming M. ...
WSC
1997
12 years 3 months ago
Computational Experience with the Batch Means Method
This article discusses implementation issues for the LBATCH and ABATCH batch means procedures of Fishman and Yarberry (1997). Theses procedures dynamically increase the batch size...
Christos Alexopoulos, George S. Fishman, Andrew F....
WSC
2004
12 years 3 months ago
Steady-State Simulation Analysis Using Asap3
We discuss ASAP3, a refinement of the batch means algorithms ASAP and ASAP2. ASAP3 is a sequential procedure designed to produce a confidence-interval estimator for the expected r...
Natalie M. Steiger, Emily K. Lada, James R. Wilson...
WSC
2001
12 years 3 months ago
On the MSE robustness of batching estimators
Variance is a classical measure of a point estimator's sampling error. In steady-state simulation experiments, many estimators of this variance--or its square root, the stand...
Yingchieh Yeh, Bruce W. Schmeiser
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