Eric Schmidt

Publication Activity (10 Years)

Years Active: 1980-2020
Publications (10 Years): 2

Top Topics

Weakly Supervised

Prediction Error

Scientific Discovery

Top Venues

Proc. VLDB Endow.

Publications

Maithra Raghu, Eric Schmidt
A Survey of Deep Learning for Scientific Discovery. CoRR (2020)
Tyler Akidau, Robert Bradshaw, Craig Chambers, Slava Chernyak, Rafael Fernández-Moctezuma, Reuven Lax, Sam McVeety, Daniel Mills, Frances Perry, Eric Schmidt, Sam Whittle
The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing. Proc. VLDB Endow. 8 (12) (2015)
Jason W. Adaska, Karl J. Obermeyer, Eric Schmidt
Robust probabilistic conflict prediction for sense and avoid. ACC (2014)
Ann Miller, Eric Schmidt, Mary E. Boone
Two Interviews, Two Perspectives. IEEE Softw. 18 (3) (2001)
Michel A. King, John F. Elder IV, Brian Gomolka, Eric Schmidt, Marguerite Summers, Kevin Toop
Evaluation of fourteen desktop data mining tools. SMC (1998)
Eric Schmidt
On the Intranet Wars: Can the Java Virtual Machine Really Challenge Microsoft? (Interview). IEEE Internet Comput. 1 (5) (1997)
James H. Morris Jr., Eric Schmidt, Philip Wadler
Experience with an Applicative String Processing Language. POPL (1980)