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Electronic Colloquium on Computational Complexity, 1994
Volume TR94, 1994
- Noam Nisan, Avi Wigderson:
On Rank vs. Communication Complexity. - Oded Goldreich, Avi Wigderson:
Tiny Families of Functions with Random Properties: A Quality-Size Trade-off for Hashing. - Noam Nisan, Amnon Ta-Shma:
Symmetric Logspace is Closed Under Complement. - Eric Allender, Martin Strauss:
Measure on Small Complexity Classes, with Applications for BPP. - Noga Alon, Alan M. Frieze, Dominic Welsh:
Polynomial Time Randomised Approximation Schemes for Tutte-Gröthendieck Invariants: The Dense Case. - Alexander A. Razborov:
On provably disjoint NP-pairs. - Oded Goldreich, Rafail Ostrovsky, Erez Petrank:
Computational Complexity and Knowledge Complexity. - Oded Goldreich:
Probabilistic Proof Systems (A Survey). - Noga Alon, Raphael Yuster, Uri Zwick:
Color-Coding. - Alexander A. Razborov, Steven Rudich:
Natural Proofs. - Richard Beigel, William Hurwood, Nabil Kahalé:
Fault Diagnosis in a Flash. - Wolfgang Maass:
Bounds for the Computational Power and Learning Complexity of Analog Neural Nets. - Pavel Pudlák:
Complexity Theory and Genetics (extended abstract). - Miklós Ajtai:
The Independence of the modulo p Counting Principles. - Miklós Ajtai:
Symmetric Systems of Linear Equations modulo p. - Jin-yi Cai, Wolfgang H. J. Fuchs, Dexter Kozen, Zicheng Liu:
Efficient Average-Case Algorithms for the Modular Group. - Wolfgang Maass:
Neural Nets with Superlinear VC-Dimension. - Jan Krajícek, Pavel Pudlák, Alan R. Woods:
An Exponential Lower Bound to the Size of Bounded Depth Frege Proofs of the Pigeonhole Principle. - Wolfgang Maass:
Lower Bounds for the Computational Power of Networks of Spiking Neurons. - Wolfgang Maass:
Agnostic PAC-Learning of Functions on Analog Neural Nets. - Lance Fortnow:
My Favorite Ten Complexity Theorems of the Past Decade. - Christoph Meinel, Stephan Waack:
The Möbius Function, Variations Ranks, and Theta(n)-Bounds on the Modular Communication Complexity of the Undirected Graph Connectivity Problem. - Matthias Krause, Pavel Pudlák:
On the Computational Power of Depth 2 Circuits with Threshold and Modulo Gates. - Marek Karpinski, Angus Macintyre:
Polynomial Bounds for VC Dimension of Sigmoidal Neural Networks. - David P. Dobkin, Dimitrios Gunopulos, Wolfgang Maass:
Computing the Maximum Bichromatic Discrepancy, with applications to Computer Graphics and Machine Learning. - Beate Bollig, Martin Sauerhoff, Detlef Sieling, Ingo Wegener:
On the Power of Different Types of Restricted Branching Programs. - Stasys Jukna:
A Note on Read-k Times Branching Programs.
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