Professor Lyle H. Ungar
Lyle H. Ungar, Ph.D. is Associate Professor of
Computer and Information Science,
Chemical and Biomolecular Engineering,
Electrical and Systems Engineering
in the School of Engineering and Applied Science,
Operations and Information Management in the Wharton School, and
Genomics and Computational Biology in the School of Medicine,
all at the University of Pennsylvania.
His research group develops scalable machine learning and text mining
methods, including clustering, feature selection, and semi-supervised
and multi-task learning for large bioinformatic and web-based problems.
Example projects include semi-supervised methods for information
extraction, multi-view learning for gene expression and fMRI data, and
use of document and link structure for informing feature selection or
transfer of knowledge between tasks.
Lyle coauthored
Clustering Methods for Collaborative Filtering,
Efficient Clustering of
High-Dimensional
Data Sets
with Application to Reference Matching,
A Hybrid Neural Network-First Principles
Approach to Process Modeling,
Methods and Metrics for Cold-Start
Recommendations,
Iterative Combinatorial Auctions: Theory and Practice, and
Probabilistic Models for Unified Collaborative and Content-Based
Recommendation in Sparse-Data Environments.
His patents include
Method and apparatus for pattern mapping system with self-reliability
check,
System and method for scheduling broadcast of and access to video
programs and other data using customer profiles,
System for generation of object profiles for a system for customized
electronic identification of desirable objects, and
Lempel-Ziv data compression technique utilizing a dictionary pre-filled
with frequent letter combinations, words and/or phrases.
Lyle earned his B.S. from Stanford University in 1979 and his
Ph.D.
from M.I.T. in 1984. He has received the Presidential Young Investigator
(PYI) award from the National Science Foundation, has published over 100
professional articles, and is co-inventor on eight
patents.
Visit his
Facebook page and his LinkedIn
page.
Read
Your iPhone is Going to Outsmart You:
The Informational Revolution Will Take Us By
Surprise.
