11 papers:
SAC-2015-RodriguesAFSB #approach #ontology #simulation- An ontological approach for simulating legal action in the Brazilian penal code (CMdOR, RRdA, FLGdF, EPdS, PVdSB), pp. 376–381.
ICML-c3-2013-QiG #message passing- Message passing with l1 penalized KL minimization (YQ, YG), pp. 262–270.
- ICML-2012-PiresS #estimation #learning #linear #statistics
- Statistical linear estimation with penalized estimators: an application to reinforcement learning (BAP, CS), p. 228.
CASE-2011-PampuriSLN #maintenance #predict- Proportional hazard model with ℓ1 Penalization applied to Predictive Maintenance in semiconductor manufacturing (SP, AS, CDL, GDN), pp. 250–255.
- ICML-2011-BrouarddS #kernel #predict
- Semi-supervised Penalized Output Kernel Regression for Link Prediction (CB, FdB, MS), pp. 593–600.
- ICML-2010-YanQ #process
- Sparse Gaussian Process Regression via L1 Penalization (FY, Y(Q), pp. 1183–1190.
- ICML-2009-QiTZCZ #learning #metric #performance
- An efficient sparse metric learning in high-dimensional space via l1-penalized log-determinant regularization (GJQ, JT, ZJZ, TSC, HJZ), pp. 841–848.
ICPR-v4-2004-Cheung #algorithm #automation #clustering #towards- A Rival Penalized EM Algorithm towards Maximizing Weighted Likelihood for Density Mixture Clustering with Automatic Model Selection (YmC), pp. 633–636.
- ICML-2001-SatoK #learning #markov #problem
- Average-Reward Reinforcement Learning for Variance Penalized Markov Decision Problems (MS, SK), pp. 473–480.
- ICPR-v2-2000-LawK #clustering #learning #modelling #sequence
- Rival Penalized Competitive Learning for Model-Based Sequence Clustering (MHCL, JTK), pp. 2195–2198.
MLDM-1999-KingL #clustering #information retrieval #learning- Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval (IK, TKL), pp. 116–130.
