Showing 1 - 20 of 72

1

Testable Learning of General Halfspaces with Adversarial Label Noise
Diakonikolas, Ilias ; Kane, Daniel M ; Liu, Sihan ; et al.

PAC learning testable learning adversarial label noise linear threshold functio...
Academic journal
Save to List
2

Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise
Diakonikolas, Ilias ; Kane, Daniel M

Statistical Query Model Halfspaces Linear Threshold Functio... Massart Noise
Academic journal
Save to List
3

An Invariance-Free One-Step Switching Lemma for LTF CNFs and DNFs
Osele, Dennj

switching lemma linear threshold functio... CNF/DNF random restrictions decision trees Fourier tail
Report
Save to List
4

Half-Spaces with Influential Variable
Dzindzalieta, D. ; Götze, Friedrich
Theory of Probability & Its Applications. 65:114-120

influence small ball inequalities 0102 computer and inform... Boolean functions 0101 mathematics 01 natural sciences
Academic journal
Save to List
5

Sketching Approximability of (Weak) Monarchy Predicates
Chou, Chi-Ning ; Golovnev, Alexander ; Shahrasbi, Amirbehshad ; et al.

FOS: Computer and inform... Computer Science - Compu... sketching algorithms approximability 0202 electrical engineer... 0102 computer and inform...
Academic journal
Save to List
6

Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise
Diakonikolas, Ilias ; Kane, Daniel M

FOS: Computer and inform... Computer Science - Machi... Linear Threshold Functio... Statistical Query Model Halfspaces Mathematics - Statistics...
Academic journal
Save to List
7

Limits on Representing Boolean Functions by Linear Combinations of Simple Functions: Thresholds, ReLUs, and Low-Degree Polynomials
Williams, Richard Ryan ; Richard Ryan Williams

linear threshold functio... lower bounds neural networks low-degree polynomials
Academic journal
Save to List
8

Linear threshold functions in decision lists, decision trees, and depth-2 circuits
Dahiya, Yogesh ; K., Vignesh ; Mahajan, Meena ; et al.
In Information Processing Letters January 2024 183

Academic journal
Save to List
9

Adaptivity Is Exponentially Powerful for Testing Monotonicity of Halfspaces
Chen, Xi ; Servedio, Rocco A. ; Tan, Li-Yang ; et al.

property testing linear threshold functio... monotonicity adaptivity
Academic journal
Save to List
10

The perceptron algorithm versus winnow: linear versus logarithmic mistake bounds when few input variables are relevant: The Perceptron algorithm versus Winnow: linear versus logarithmic mistake bounds when few input variables are relevant
Manfred K. Warmuth ; Peter Auer ; Jyrki Kivinen
Artificial Intelligence. 97:325-343

Linear threshold functio... Learning and adaptive sy... mistake bounds 0102 computer and inform... 02 engineering and techn... 01 natural sciences
Academic journal
Save to List
11

Polynomial regression under arbitrary product distributions
BLAIS, Eric ; O'DONNELL, Ryan ; WIMMER, Karl
Special Issue on Learning TheoryMachine learning. 80(2-3):273-294

Cognition Computer science Informatique Sciences exactes et tech... Exact sciences and techn... Sciences appliquees
Academic journal
Save to List
12

TESTING HALFSPACES
MATULEF, Kevin ; O'DONNELL, Ryan ; RUBINFELD, Ronitt ; et al.
SIAM journal on computing (Print). 39(5):2004-2047

Computer science Informatique Mathematics Mathématiques Sciences exactes et tech... Exact sciences and techn...
Academic journal
Save to List
13

Monotone Boolean formulas can approximate monotone linear threshold functions
Rocco A. Servedio
Discrete Applied Mathematics. 142:181-187

Monotone computation Linear threshold functio... Boolean formulas Analysis of algorithms a... Applied Mathematics Discrete Mathematics and...
Academic journal
Save to List
14

PAC Analogues of Perceptron and Winnow Via Boosting the Margin: PAC analogues of Perceptron and Winnow via boosting the margin
Rocco A. Servedio
Machine Learning. 47:133-151

Learning and adaptive sy... 0202 electrical engineer... 0102 computer and inform... 02 engineering and techn... 01 natural sciences PAC model algorithms
Academic journal
Save to List
15

A polynomial-time algorithm for learning noisy linear threshold functions
Avrim Blum ; Alan Frieze ; Santosh Vempala ; et al.
Proceedings of 37th Conference on Foundations of Computer Science. :330-338

perceptron algorithm learning greedy algorithms Learning and adaptive sy... 0202 electrical engineer... 0102 computer and inform...
Academic journal
Save to List
16

On Optimal Depth Threshold Circuits for Multiplication and Related Problems: On optimal depth threshold circuits for multiplication and related problems
Kai-Yeung Siu ; Vwani P. Roychowdhury
SIAM Journal on Discrete Mathematics. 7:284-292

threshold circuits 0202 electrical engineer... Complexity classes (hier... 0102 computer and inform... 02 engineering and techn... Models of computation (T...
Academic journal
Save to List
17

Spectral properties of threshold functions
Craig Gotsman ; Nathan Linial
Combinatorica. 14:35-50

Fourier series in specia... Switching theory, applic... Boolean functions Fourier transform 0102 computer and inform... 0101 mathematics
Academic journal
Save to List
18

Properties of Boolean networks and methods for their tests
Klotz, Johannes Georg ; Feuer, Ronny ; Sawodny, Oliver ; et al.
EURASIP Journal on Bioinformatics and Systems Biology. December 2013 2013(1):1-10

Academic journal
Save to List
19

Halfspace Matrices
Sherstov, Alexander A.
computational complexity. May 2008 17(2):149-178

Academic journal
Save to List
20

Every Linear Threshold Function has a Low-Weight Approximator
Servedio, Rocco A.
computational complexity. 05 2007 16(2):180-209

Academic journal
Save to List

Filter