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Learning from Labeled and Unlabeled Data Using RandomWalks
Learning from Labeled and Unlabeled Data Using RandomWalks Dengyong Zhouand Bernhard Sch olkopf Max PlanckInstitute for Biological Cybernetics Spemannstr. 38,72076 Tuebingen, Germany fdengyong.zhou, bernhard.schoelkopfg@tuebingen.mpg.de Abstract.
ASHP Statement on the Use of Medications for Unlabeled Uses
The freedom and responsibility to make drug therapy decisions that are consistent with patient-care needs is a fundamental precept supported by ASHP.
Formulary Management (Medication-Use Policy Development ...
ASHP Statement on the Use of Medications for Unlabeled Uses Formulary Management (Medication-Use Policy Development): ASHP Policy Statement
Learning to Classify Text from Labeled and Unlabeled Documents
Learning to Classify Text from Labeled and Unlabeled Documents Kamal Nigam y knigam@cs.cmu.edu Andrew McCallum zy mccallum@cs.cmu. edu Sebastian Thrun y thrun@cs.cmu.edu Tom Mitchell y mitchell+@cs.cmu.edu y School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 z Just ...
Text Classication from Labeled and Unlabeled
Machine Learning, , 1{34 () c Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. Text Classication from Labeled and Unlabeled Documents using EM KAMALNIGAM y knigam@cs.cmu.edu ANDREW KACHITESMCCALLUM zy mccallum@justresearch.com SEBASTIANTHRUN y thrun@cs.cmu.edu TOMMITCHELL y ...
Self-taught Learning: Transfer Learning from Unlabeled Data
Self-taught Learning: Transfer Learning from Unlabeled Data Rajat Raina raja tr@cs.stanford.edu Alexis Battle ajbattle@cs.stanford.edu Honglak Lee hllee@cs.stanford.edu Benjamin Packer bpacker@cs.stanford.edu AndrewY.
Unlabeled data: Now it helps, now itdoesn't
Unlabeled data: Now it helps, now itdoesn't Aarti Singh, Robert D. Nowak ∗ Xiaojin Zhu † Department of Electrical and Computer Engineering Department of Computer Sciences University of Wisconsin -Madison University of Wisconsin -Madison Madison, WI 53706 Madison, WI 53706 {singh@cae,nowak ...
FIVE UNLABELED BOTTLES
Name: _____ 1 Chemistry 117 Laboratory University of Massachusetts Boston
Face Recognition Using Unlabeled Data
Face Recognition Using Unlabeled Data Carmen Mart´ınezand Olac Fuentes Instituto Nacional de Astrof´ısica, ´ Opticay Electr´ onica Luis EnriqueErro#1 Santa Mar´ıaTonanzintla, Puebla, 72840, M´ exico carmen@ccc.inaoep.mx, fuentes@inaoep.mx ABSTRACT Face recognition systems can normally ...
Two-view Feature Generation Model for Semi-supervised Learning
In summary, in order to use unlabeled data in discriminative learning, we can first learn a good regular-izationcondition, or discriminative parameterization form (i.e., hypothesis space) using unlabeled data, and
