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Agnostic Learning of Geometric Patterns

https://doi.org/10.1006/jcss.2000.1723

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/rob.4620050505openalex-snapshot

Visual control of autonomous mobile robot based on self‐organizing model for pattern learning

inferredcites →https://doi.org/10.1006/inco.1994.1009openalex-snapshot

The Weighted Majority Algorithm

inferredcites →https://doi.org/10.1006/inco.1997.2686openalex-snapshot

Efficient Learning with Virtual Threshold Gates

inferredcites →https://doi.org/10.1006/jcss.1997.1558openalex-snapshot

Specification and Simulation of Statistical Query Algorithms for Efficiency and Noise Tolerance

inferredcites →https://doi.org/10.1007/978-3-0348-5858-8openalex-snapshot

Convexity and Its Applications

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Approximation of convex bodies

inferredcites →https://doi.org/10.1007/bf00115300openalex-snapshot

PAC Learning of One-Dimensional Patterns

inferredcites →https://doi.org/10.1007/bf00116034openalex-snapshot

Negative Results for Equivalence Queries

inferredcites →https://doi.org/10.1007/bf00116827openalex-snapshot

Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm

inferredcites →https://doi.org/10.1007/bf00116828openalex-snapshot

Queries and Concept Learning

inferredcites →https://doi.org/10.1007/bf00993468openalex-snapshot

Toward efficient agnostic learning

inferredcites →https://doi.org/10.1016/0004-3702(90)90027-wopenalex-snapshot

Qualitative navigation for mobile robots

inferredcites →https://doi.org/10.1016/0890-5401(91)90042-zopenalex-snapshot

Equivalence of models for polynomial learnability

inferredcites →https://doi.org/10.1016/0890-5401(92)90010-dopenalex-snapshot

Decision theoretic generalizations of the PAC model for neural net and other learning applications

inferredcites →https://doi.org/10.1016/b978-0-08-094829-4.50022-2openalex-snapshot

From On-line to Batch Learning

inferredcites →https://doi.org/10.1016/b978-1-55860-213-7.50017-1openalex-snapshot

Redundant Noisy Attributes, Attribute Errors, and Linear-threshold Learning Using Winnow

inferredcites →https://doi.org/10.1016/s0004-3702(96)00034-3openalex-snapshot

Solving the multiple instance problem with axis-parallel rectangles

inferredcites →https://doi.org/10.1016/s0004-3702(97)00039-8openalex-snapshot

The perceptron algorithm versus winnow: linear versus logarithmic mistake bounds when few input variables are relevant

inferredcites →https://doi.org/10.1016/s0925-2312(97)90018-7openalex-snapshot

Advances in neural information processing systems 7

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A Note on Learning from Multiple-Instance Examples

inferredcites →https://doi.org/10.1023/a:1007450326753openalex-snapshot

PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples

inferredcites →https://doi.org/10.1023/a:1007472513967openalex-snapshot

Tracking the Best Disjunction

inferredcites →https://doi.org/10.1023/a:1007681724516openalex-snapshot

A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns

inferredcites →https://doi.org/10.1023/a:1022869011914openalex-snapshot

Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm

inferredcites →https://doi.org/10.1037/h0042519openalex-snapshot

The perceptron: A probabilistic model for information storage and organization in the brain.

inferredcites →https://doi.org/10.1109/37.120451openalex-snapshot

Image-based homing

inferredcites →https://doi.org/10.1137/s0097539794274246openalex-snapshot

Exact Learning of Discretized Geometric Concepts

inferredcites →https://doi.org/10.1145/130385.130424openalex-snapshot

Toward efficient agnostic learning

inferredcites →https://doi.org/10.1145/167088.167200openalex-snapshot

Efficient noise-tolerant learning from statistical queries

inferredcites →https://doi.org/10.1145/1968.1972openalex-snapshot

A theory of the learnable

inferredcites →https://doi.org/10.1145/225298.225333openalex-snapshot

The perceptron algorithm vs. Winnow

inferredcites →https://doi.org/10.1145/225298.225351openalex-snapshot

Specification and simulation of statistical query algorithms for efficiency and noise tolerance

inferredcites →https://doi.org/10.1145/238061.238105openalex-snapshot

PAC learning axis-aligned rectangles with respect to product distributions from multiple-instance examples

inferredcites →https://doi.org/10.1145/238061.238164openalex-snapshot

Learning of depth two neural networks with constant fan-in at the hidden nodes (extended abstract)

inferredcites →https://doi.org/10.1145/258533.258611openalex-snapshot

Approximating hyper-rectangles

inferredcites →https://doi.org/10.1145/3749740.3749746openalex-snapshot

A Theory of the Learnable

inferredcites →https://doi.org/10.1145/48014.63140openalex-snapshot

Computational limitations on learning from examples

inferredcites →https://doi.org/10.1145/76359.76371openalex-snapshot

Learnability and the Vapnik-Chervonenkis dimension

inferredcites →https://doi.org/10.5555/93335.93365openalex-snapshot

From on-line to batch learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Online Closure-Based Learning of Relational Theories

inferred← citeshttps://doi.org/10.1007/3-540-44581-1_12openalex-snapshot

Intrinsic Complexity of Learning Geometrical Concepts from Positive Data

inferred← citeshttps://doi.org/10.1007/3-540-44581-1_6openalex-snapshot

Efficiently Approximating Weighted Sums with Exponentially Many Terms

inferred← citeshttps://doi.org/10.1007/3-540-46769-6_29openalex-snapshot

On Learning Unions of Pattern Languages and Tree Patterns

inferred← citeshttps://doi.org/10.1007/3-540-63577-7_57openalex-snapshot

Learning disjunctions of features

inferred← citeshttps://doi.org/10.1007/978-0-387-30164-8_569openalex-snapshot

Multi-Instance Learning

inferred← citeshttps://doi.org/10.1007/978-1-4899-7502-7_578-1openalex-snapshot

Multiple-Instance Learning

inferred← citeshttps://doi.org/10.1007/978-1-4899-7687-1_578openalex-snapshot

Multiple-Instance Learning

inferred← citeshttps://doi.org/10.1007/978-1-4899-7687-1_955openalex-snapshot

Multi-Instance Learning

inferred← citeshttps://doi.org/10.1007/978-3-319-47759-6openalex-snapshot

Multiple Instance Learning: Foundations and Algorithms

inferred← citeshttps://doi.org/10.1007/978-3-319-47759-6_5openalex-snapshot

Bag-Based Classification Methods

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A Boosting Approach to Multiple Instance Learning

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Solving multi-instance problems with classifier ensemble based on constructive clustering

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Multi-instance clustering with applications to multi-instance prediction

inferred← citeshttps://doi.org/10.1007/s10994-008-5063-9openalex-snapshot

Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning

inferred← citeshttps://doi.org/10.1007/s11063-005-2192-zopenalex-snapshot

Adapting RBF Neural Networks to Multi-Instance Learning

inferred← citeshttps://doi.org/10.1007/springerreference_179281openalex-snapshot

Multi-Instance Learning

inferred← citeshttps://doi.org/10.1016/j.jcss.2004.01.006openalex-snapshot

On approximating weighted sums with exponentially many terms

inferred← citeshttps://doi.org/10.1016/s0022-0000(03)00067-9openalex-snapshot

Intrinsic complexity of learning geometrical concepts from positive data

inferred← citeshttps://doi.org/10.1016/s0304-3975(01)00402-9openalex-snapshot

On learning unions of pattern languages and tree patterns in the mistake bound model

inferred← citeshttps://doi.org/10.1023/a:1007681724516openalex-snapshot

A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns

inferred← citeshttps://doi.org/10.1023/a:1024671512350openalex-snapshot

Multiple-Instance Learning of Real-Valued Geometric Patterns

inferred← citeshttps://doi.org/10.1109/icmla.2004.1383513openalex-snapshot

Agnostic learning of general geometric patterns and multi-instance learning in R/sup d/

inferred← citeshttps://doi.org/10.1109/tpami.2007.70846openalex-snapshot

Kernels for Generalized Multiple-Instance Learning

inferred← citeshttps://doi.org/10.1137/070684914openalex-snapshot

On Agnostic Learning of Parities, Monomials, and Halfspaces

inferred← citeshttps://doi.org/10.1142/s1469026805001453openalex-snapshot

ON GENERALIZED MULTIPLE-INSTANCE LEARNING

inferred← citeshttps://doi.org/10.1145/1015330.1015405openalex-snapshot

SVM-based generalized multiple-instance learning via approximate box counting

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Learning finite-state machines: statistical and algorithmic aspects

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