@article{MyersShohamyGluckEtAl03b,
	title = {Dissociating Hippocampal versus Basal Ganglia Contributions to Learning
	and Transfer},
	author = {C. E. Myers and D. Shohamy and M. A. Gluck and S. Grossman and A. Kluger and S. Ferris and J. Golomb and G. Schnirman and R. Schwartz},
	journal = {Journal of Cognitive Neuroscience},
	pages = {185-193},
	volume = {15},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/254813082ea00d8691391da4d2a511036/brian.mingus},
	description = {CCNLab BibTeX},
	keywords = {bg }
}

@article{Kluger&DeNisi_1996,
	title = {The effects of feedback interventions on performance: a historical review, a meta-analysis, and a preliminary feedback interviention theory},
	author = {Avi Kluger and A. DeNisi},
	journal = {Psychological Bulletin},
	number = {2},
	pages = {254-284},
	url = {http://psycnet.apa.org/index.cfm?fa=search.displayRecord&uid=1996-02773-003},
	volume = {119},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/2d7ccd03e2da80656ef22297b51ab5f69/harveymellar},
	abstract = {Since the beginning of the century, feedback interventions (FIs) produced negative--but largely ignored--effects on performance. A meta-analysis (607 effect sizes; 23,663 observations) suggests that FIs improved performance on average ( d = .41) but that over one-third of the FIs decreased performance. This finding cannot be explained by sampling error, feedback sign, or existing theories. The authors proposed a preliminary FI theory (FIT) and tested it with moderator analyses. The central assumption of FIT is that FIs change the locus of attention among 3 general and hierarchically organized levels of control: task learning, task motivation, and meta-tasks (including self-related) processes. The results suggest that FI effectiveness decreases as attention moves up the hierarchy closer to the self and away from the task. These findings are further moderated by task characteristics that are still poorly understood.},
	keywords = {WLEFormativeEAssessment tofind }
}

@article{Kluger&DeNisi_1996,
	title = {The effects of feedback interventions on performance: a historical review, a meta-analysis, and a preliminary feedback interviention theory},
	author = {Avi Kluger and A. DeNisi},
	journal = {Psychological Bulletin},
	number = {2},
	pages = {254-284},
	url = {http://psycnet.apa.org/index.cfm?fa=search.displayRecord&uid=1996-02773-003},
	volume = {119},
	year = {1996},
	biburl = {http://www.bibsonomy.org/bibtex/2d7ccd03e2da80656ef22297b51ab5f69/servusuk},
	abstract = {Since the beginning of the century, feedback interventions (FIs) produced negative--but largely ignored--effects on performance. A meta-analysis (607 effect sizes; 23,663 observations) suggests that FIs improved performance on average ( d = .41) but that over one-third of the FIs decreased performance. This finding cannot be explained by sampling error, feedback sign, or existing theories. The authors proposed a preliminary FI theory (FIT) and tested it with moderator analyses. The central assumption of FIT is that FIs change the locus of attention among 3 general and hierarchically organized levels of control: task learning, task motivation, and meta-tasks (including self-related) processes. The results suggest that FI effectiveness decreases as attention moves up the hierarchy closer to the self and away from the task. These findings are further moderated by task characteristics that are still poorly understood.},
	keywords = {WLEFormativeEAssessment }
}

@book{kluger_die_2008,
	title = {Die Gehilfin},
	author = {Martin Kluger},
	pages = {432},
	publisher = {Diana TB},
	year = {2008},
	biburl = {http://www.bibsonomy.org/bibtex/23a27ceacbe9c65318b4812c7b76196b8/dhana_kelandry},
	description = {Was ich noch lesen möchte},
	abstract = {Berlin in den Jahren der Gründerzeit: Die kleine Henrietta verlebt ihre Kindheit in der Charite, wo der Vater als Krankenwärter arbeitet. Dort begegnet sie den ambitionierten Forschern Rudolf Virchow und Robert Koch, die sich rührend um die Halbwaise kümmern. Als Erwachsene hegt Henrietta den inständigen Wunsch, Medizin zu studieren, doch plötzlich sind ihr alle Türen verschlossen...},
	isbn = {3453811224},
	keywords = {Berlin Historisches Medizin Studium }
}

@inproceedings{conf/biocomp/ZhouFCK07,
	title = {Inter- and Intra-Combinatorial Regulation by Transcriptions Factors and MicroRNAs.},
	author = {Yiming Zhou and John Ferguson and Joseph T. Chang and Yuval Kluger},
	booktitle = {BIOCOMP},
	crossref = {conf/biocomp/2007-2},
	editor = {Hamid R. Arabnia and Mary Qu Yang and Jack Y. Yang},
	pages = {598-604},
	publisher = {CSREA Press},
	url = {http://dblp.uni-trier.de/db/conf/biocomp/biocomp2007-2.html#ZhouFCK07},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/28e68de43e203d0adee333a168aa40d99/dblp},
	description = {dblp},
	isbn = {1-60132-041-8}, date = {2007-12-14},
	keywords = {dblp }
}

@inproceedings{conf/iscas/GaedkeBGKGB07,
	title = {Architecture and VLSI Implementation of a programmable HD Real-Time Motion Estimator.},
	author = {K. Gaedke and M. Borsum and M. Georgi and A. Kluger and J.-P. Le Glanic and P. Bernard},
	booktitle = {ISCAS},
	crossref = {conf/iscas/2007},
	pages = {1609-1612},
	publisher = {IEEE},
	url = {http://dblp.uni-trier.de/db/conf/iscas/iscas2007.html#GaedkeBGKGB07},
	year = {2007},
	biburl = {http://www.bibsonomy.org/bibtex/2a42c1b6aec0812ac7b473bf3c2051f5b/dblp},
	description = {dblp},
	ee = {http://doi.ieeecomputersociety.org/10.1109/ISCAS.2007.378826}, date = {2007-07-16},
	keywords = {dblp }
}

@article{kluger03spectralbiclustering,
	title = {{Spectral Biclustering of Microarray Data: Coclustering Genes and Conditions}},
	author = {Yuval Kluger and Ronen Basri and Joseph T. Chang and Mark Gerstein},
	journal = {Genome Res.},
	number = {4},
	pages = {703-716},
	url = {http://www.genome.org/cgi/content/abstract/13/4/703},
	volume = {13},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/2b7a5b33e7c15eee718c667a7553a4f6e/zeno},
	description = {Spectral Biclustering of Microarray Data: Coclustering Genes and Conditions -- Kluger et al. 13 (4): 703 -- Genome Research},
	abstract = {Global analyses of RNA expression levels are useful for classifying genes and overall phenotypes. Often these classification problems are linked, and one wants to find "marker genes" that are differentially expressed in particular sets of "conditions." We have developed a method that simultaneously clusters genes and conditions, finding distinctive "checkerboard" patterns in matrices of gene expression data, if they exist. In a cancer context, these checkerboards correspond to genes that are markedly up- or downregulated in patients with particular types of tumors. Our method, spectral biclustering, is based on the observation that checkerboard structures in matrices of expression data can be found in eigenvectors corresponding to characteristic expression patterns across genes or conditions. In addition, these eigenvectors can be readily identified by commonly used linear algebra approaches, in particular the singular value decomposition (SVD), coupled with closely integrated normalization steps. We present a number of variants of the approach, depending on whether the normalization over genes and conditions is done independently or in a coupled fashion. We then apply spectral biclustering to a selection of publicly available cancer expression data sets, and examine the degree to which the approach is able to identify checkerboard structures. Furthermore, we compare the performance of our biclustering methods against a number of reasonable benchmarks (e.g., direct application of SVD or normalized cuts to raw data).
},
	doi = {10.1101/gr.648603}, eprint = {http://www.genome.org/cgi/reprint/13/4/703.pdf},
	keywords = {bioinformatics coclustering }
}

@article{pmid14564010,
	title = {{A Bayesian networks approach for predicting protein-protein interactions from genomic data}},
	author = {Ronald. Jansen and Haiyuan. Yu and Dov. Greenbaum and Yuv al. Kluger and Nevan. J. Krogan and Sambath. Chung and Andrew. Emili and Mi chael. Snyder and Jack. F. Greenblatt and Mark. Gerstein},
	howpublished = {449.pdf},
	journal = {Science},
	month = {Oct},
	note = {Evaluation Studies},
	number = {5644},
	pages = {449-453},
	volume = {302},
	year = {2003},
	biburl = {http://www.bibsonomy.org/bibtex/2e2b979e8ececf20369c8d8f3791fb63b/pjotrp},
	keywords = {imported }
}

@article{journals/bmcbi/TuckKK06,
	title = {Characterizing disease states from topological properties of transcriptional regulatory networks.},
	author = {David Tuck and Harriet Kluger and Yuval Kluger},
	journal = {BMC Bioinformatics},
	pages = {236},
	url = {http://dblp.uni-trier.de/db/journals/bmcbi/bmcbi7.html#TuckKK06},
	volume = {7},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/2da95d6b54b56d5c4094112e93c3fb201/dblp},
	description = {dblp},
	ee = {http://dx.doi.org/10.1186/1471-2105-7-236}, date = {2006-05-18},
	keywords = {dblp }
}

@article{journals/bmcbi/KimHK06,
	title = {Unraveling condition specific gene transcriptional regulatory networks in Saccharomyces cerevisiae.},
	author = {Hyunsoo Kim and William Hu and Yuval Kluger},
	journal = {BMC Bioinformatics},
	pages = {165},
	url = {http://dblp.uni-trier.de/db/journals/bmcbi/bmcbi7.html#KimHK06},
	volume = {7},
	year = {2006},
	biburl = {http://www.bibsonomy.org/bibtex/237e16837fd484571f1d510d5eef60998/dblp},
	description = {dblp},
	ee = {http://dx.doi.org/10.1186/1471-2105-7-165}, date = {2006-05-18},
	keywords = {dblp }
}