Lyle Ungar
Lyle Ungar
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Cited by
Cited by
System and method for scheduling broadcast of and access to video programs and other data using customer profiles
F Herz, L Ungar, J Zhang, D Wachob, M Salganicoff
US Patent 5,758,257, 1998
Methods and metrics for cold-start recommendations
AI Schein, A Popescul, LH Ungar, DM Pennock
Proceedings of the 25th annual international ACM SIGIR conference on …, 2002
System for generation of user profiles for a system for customized electronic identification of desirable objects
FSM Herz, JM Eisner, LH Ungar, MP Marcus
US Patent 5,754,939, 1998
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
System for generation of object profiles for a system for customized electronic identification of desirable objects
FSM Herz, JM Eisner, LH Ungar
US Patent 5,835,087, 1998
Efficient clustering of high-dimensional data sets with application to reference matching
A McCallum, K Nigam, LH Ungar
Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000
Personality, gender, and age in the language of social media: The open-vocabulary approach
HA Schwartz, JC Eichstaedt, ML Kern, L Dziurzynski, SM Ramones, ...
PloS one 8 (9), e73791, 2013
Clustering methods for collaborative filtering
LH Ungar, DP Foster
AAAI workshop on recommendation systems 1, 114-129, 1998
Neural networks and related methods for classification
BD Ripley
Journal of the Royal Statistical Society: Series B (Methodological) 56 (3 …, 1994
Whatever does not kill us: cumulative lifetime adversity, vulnerability, and resilience.
MD Seery, EA Holman, RC Silver
Journal of personality and social psychology 99 (6), 1025, 2010
A hybrid neural network‐first principles approach to process modeling
DC Psichogios, LH Ungar
AIChE Journal 38 (10), 1499-1511, 1992
Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments
A Popescul, LH Ungar, DM Pennock, S Lawrence
arXiv preprint arXiv:1301.2303, 2013
Iterative combinatorial auctions: Theory and practice
DC Parkes, LH Ungar
AAAI/IAAI 7481, 2000
Automatic personality assessment through social media language.
G Park, HA Schwartz, JC Eichstaedt, ML Kern, M Kosinski, DJ Stillwell, ...
Journal of personality and social psychology 108 (6), 934, 2015
Iterative combinatorial auctions: Achieving economic and computational efficiency
DC Parkes, LH Ungar
University of Pennsylvania, 2001
Psychological language on Twitter predicts county-level heart disease mortality
JC Eichstaedt, HA Schwartz, ML Kern, G Park, DR Labarthe, ...
Psychological science 26 (2), 159-169, 2015
Statistical relational learning for link prediction
A Popescul, LH Ungar
IJCAI workshop on learning statistical models from relational data 2003, 2003
Using radial basis functions to approximate a function and its error bounds
JA Leonard, MA Kramer, LH Ungar
IEEE transactions on neural networks 3 (4), 624-627, 1992
Active learning for logistic regression: an evaluation
AI Schein, LH Ungar
Machine Learning 68 (3), 235-265, 2007
Direct and indirect model based control using artificial neural networks
DC Psichogios, LH Ungar
Industrial & engineering chemistry research 30 (12), 2564-2573, 1991
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