Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
136 | Lisa Hellerstein, Vijay Raghavan 0002 |
Exact learning of DNF formulas using DNF hypotheses. |
STOC |
2002 |
DBLP DOI BibTeX RDF |
representations of boolean functions, algorithms, certificates, complexity theory, computational learning theory, disjunctive normal form, DNF |
121 | Vitaly Feldman |
Hardness of approximate two-level logic minimization and PAC learning with membership queries. |
STOC |
2006 |
DBLP DOI BibTeX RDF |
DNF minimization, proper learning, two-level logic minimization, hardness of approximation, uniform distribution, membership queries, truth table |
117 | Linda Sellie |
Exact learning of random DNF over the uniform distribution. |
STOC |
2009 |
DBLP DOI BibTeX RDF |
learning theory, DNF |
116 | Homin K. Lee, Rocco A. Servedio, Andrew Wan |
DNF are teachable in the average case. |
Mach. Learn. |
2007 |
DBLP DOI BibTeX RDF |
DNF formulas, Teaching dimension |
113 | Howard Aizenstein, Leonard Pitt |
Exact Learning of Read-k Disjoint DNF and Not-So-Disjoint DNF. |
COLT |
1992 |
DBLP DOI BibTeX RDF |
|
99 | Yasubumi Sakakibara |
DNA-based algorithms for learning Boolean formulae. |
Nat. Comput. |
2003 |
DBLP DOI BibTeX RDF |
population computation, weighted majority, DNA computing, massively parallel, Boolean formula, computational learning |
99 | Yasubumi Sakakibara |
Solving Computational Learning Problems of Boolean Formulae on DNA Computers. |
DNA Computing |
2000 |
DBLP DOI BibTeX RDF |
|
97 | Amos Beimel, Francesco Bergadano, Nader H. Bshouty, Eyal Kushilevitz, Stefano Varricchio |
Learning functions represented as multiplicity automata. |
J. ACM |
2000 |
DBLP DOI BibTeX RDF |
learning disjoint, learning polynomials, multiplicity automata, DNF, computational learning |
94 | Kwangsu Lee, Jung Yeon Hwang, Dong Hoon Lee 0001 |
Non-interactive Identity-Based DNF Signature Scheme and Its Extensions. |
ICISC |
2008 |
DBLP DOI BibTeX RDF |
Signer Anonymity, Identity-Based Signature, Disjunctive Normal Form, Access Structure |
94 | Homin K. Lee, Rocco A. Servedio, Andrew Wan |
DNF Are Teachable in the Average Case. |
COLT |
2006 |
DBLP DOI BibTeX RDF |
|
94 | Jeffrey C. Jackson, Rocco A. Servedio |
On Learning Random DNF Formulas Under the Uniform Distribution. |
APPROX-RANDOM |
2005 |
DBLP DOI BibTeX RDF |
|
86 | Michael Alekhnovich, Mark Braverman, Vitaly Feldman, Adam R. Klivans, Toniann Pitassi |
Learnability and Automatizability. |
FOCS |
2004 |
DBLP DOI BibTeX RDF |
|
81 | Subhash Khot, Rishi Saket |
Hardness of Minimizing and Learning DNF Expressions. |
FOCS |
2008 |
DBLP DOI BibTeX RDF |
|
81 | Karsten A. Verbeurgt |
Learning Sub-classes of Monotone DNF on the Uniform Distribution. |
ALT |
1998 |
DBLP DOI BibTeX RDF |
|
81 | Yishay Mansour |
An O(nlog log n) Learning Algorithm for DNF Under the Uniform Distribution. |
COLT |
1992 |
DBLP DOI BibTeX RDF |
|
80 | Jun Tarui, Tatsuie Tsukiji |
Learning DNF by Approximating Inclusion-Exclusion Formulae. |
CCC |
1999 |
DBLP DOI BibTeX RDF |
Inclusion-exclusion formula, PAC Learning, DNF |
69 | Louay Bazzi |
Polylogarithmic Independence Can Fool DNF Formulas. |
FOCS |
2007 |
DBLP DOI BibTeX RDF |
|
69 | Wolfgang Lindner 0002 |
Learning DNF by Statistical and Proper Distance Queries Under the Uniform Distribution. |
ALT |
2005 |
DBLP DOI BibTeX RDF |
|
69 | Kouichi Hirata, Ryosuke Nagazumi, Masateru Harao |
Extraction of Coverings as Monotone DNF Formulas. |
Discovery Science |
2003 |
DBLP DOI BibTeX RDF |
|
66 | Christopher Umans |
The Minimum Equivalent DNF Problem and Shortest Implicants. |
FOCS |
1998 |
DBLP DOI BibTeX RDF |
minimum equivalent DNF, shortest implicant, complexity of approximation, computational complexity, logic minimization, polynomial hierarchy |
62 | Hongtao Huang |
Detection of Disjunctive Normal Form Predicate in Distributed Systems. |
ICDCN |
2008 |
DBLP DOI BibTeX RDF |
|
62 | Ken Sadohara |
Learning of Boolean Functions Using Support Vector Machines. |
ALT |
2001 |
DBLP DOI BibTeX RDF |
|
56 | Jeffrey C. Jackson, Homin K. Lee, Rocco A. Servedio, Andrew Wan |
Learning Random Monotone DNF. |
APPROX-RANDOM |
2008 |
DBLP DOI BibTeX RDF |
|
56 | Eric Allender, Lisa Hellerstein, Paul McCabe, Toniann Pitassi, Michael E. Saks |
Minimizing DNF Formulas and AC0d Circuits Given a Truth Table. |
CCC |
2006 |
DBLP DOI BibTeX RDF |
|
56 | Judy Goldsmith, Matthias Hagen, Martin Mundhenk |
Complexity of DNF and Isomorphism of Monotone Formulas. |
MFCS |
2005 |
DBLP DOI BibTeX RDF |
|
56 | Yoshikazu Shima, Kouichi Hirata, Masateru Harao |
Extraction of Frequent Few-Overlapped Monotone DNF Formulas with Depth-First Pruning. |
PAKDD |
2005 |
DBLP DOI BibTeX RDF |
|
56 | Ulrich Rückert 0002, Stefan Kramer 0001, Luc De Raedt |
Phase Transitions and Stochastic Local Search in k-Term DNF Learning. |
ECML |
2002 |
DBLP DOI BibTeX RDF |
|
56 | Jeffrey C. Jackson, Christino Tamon, Tomoyuki Yamakami |
Quantum DNF Learnability Revisited. |
COCOON |
2002 |
DBLP DOI BibTeX RDF |
|
56 | Rocco A. Servedio |
On Learning Monotone DNF under Product Distributions. |
COLT/EuroCOLT |
2001 |
DBLP DOI BibTeX RDF |
|
56 | Krishnan Pillaipakkamnatt, Vijay Raghavan 0002 |
On the Limits of Proper Learnability of Subclasses of DNF Formulas. |
COLT |
1994 |
DBLP DOI BibTeX RDF |
|
56 | Avrim Blum, Roni Khardon, Eyal Kushilevitz, Leonard Pitt, Dan Roth |
On Learning Read-k-Satisfy-j DNF. |
COLT |
1994 |
DBLP DOI BibTeX RDF |
|
56 | Sally A. Goldman, H. David Mathias |
Learning k-Term DNF Formulas with an Incomplete Membership Oracle. |
COLT |
1992 |
DBLP DOI BibTeX RDF |
|
49 | Ingo Ahrns, Heiko Neumann |
Space-Variant Dynamic Neural Fields for Visual Attention. |
CVPR |
1999 |
DBLP DOI BibTeX RDF |
|
49 | Nader H. Bshouty, Richard Cleve, Sampath Kannan, Christino Tamon |
Oracles and Queries that are Sufficient for Exact Learning (Extended Abstract). |
COLT |
1994 |
DBLP DOI BibTeX RDF |
|
44 | Takayuki Sato, Kazuyuki Amano, Eiji Takimoto, Akira Maruoka |
Monotone DNF Formula That Has a Minimal or Maximal Number of Satisfying Assignments. |
COCOON |
2008 |
DBLP DOI BibTeX RDF |
|
44 | Ryan O'Donnell, Karl Wimmer |
Approximation by DNF: Examples and Counterexamples. |
ICALP |
2007 |
DBLP DOI BibTeX RDF |
|
44 | Kun Peng |
Secure Multiparty Computation of DNF. |
ICICS |
2007 |
DBLP DOI BibTeX RDF |
|
44 | Michael Alekhnovich |
Lower bounds for k-DNF resolution on random 3-CNFs. |
STOC |
2005 |
DBLP DOI BibTeX RDF |
random 3CNF, res(k), resolution |
44 | Yoshikazu Shima, Shinji Mitsuishi, Kouichi Hirata, Masateru Harao |
Extracting Minimal and Closed Monotone DNF Formulas. |
Discovery Science |
2004 |
DBLP DOI BibTeX RDF |
|
44 | Peter Bro Miltersen, Jaikumar Radhakrishnan, Ingo Wegener |
On Converting CNF to DNF. |
MFCS |
2003 |
DBLP DOI BibTeX RDF |
|
44 | Nader H. Bshouty, Nadav Eiron |
Learning Monotone DNF from a Teacher That Almost Does Not Answer Membership Queries. |
COLT/EuroCOLT |
2001 |
DBLP DOI BibTeX RDF |
|
44 | Adam R. Klivans, Rocco A. Servedio |
Learning DNF in time 2Õ(n1/3). |
STOC |
2001 |
DBLP DOI BibTeX RDF |
|
44 | Shinichi Yanagi, Mineichi Kudo, Masaru Shimbo |
Polynomial-sample learnability about distance-0 and 1 DNF formulas. |
KES (2) |
1998 |
DBLP DOI BibTeX RDF |
|
44 | Michele Flammini, Alberto Marchetti-Spaccamela, Ludek Kucera |
Learning DNF Formulae Under Classes of Probability Distributions. |
COLT |
1992 |
DBLP DOI BibTeX RDF |
|
43 | Qingping Tao, Stephen D. Scott 0001 |
Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning. |
Mach. Learn. |
2008 |
DBLP DOI BibTeX RDF |
Markov chain Monte Carlo, DNF, Winnow |
42 | Jeffrey C. Jackson |
An Efficient Membership-Query Algorithm for Learning DNF with Respect to the Uniform Distribution |
FOCS |
1994 |
DBLP DOI BibTeX RDF |
boosted weak learner, membership-query algorithm, learning DNF, nonuniform distributions, noisy examples, boosting techniques, uniform distribution |
42 | Howard Aizenstein, Lisa Hellerstein, Leonard Pitt |
Read-Thrice DNF Is Hard to Learn With Membership and Equivalence Queries |
FOCS |
1992 |
DBLP DOI BibTeX RDF |
disjunctive normal, nonlearnability, polynomial-time membership, read-thrice DNF formulas, membership, boolean formulas, equivalence queries, exact learning |
42 | Howard Aizenstein, Leonard Pitt |
Exact Learning of Read-Twice DNF Formulas (Extended Abstract) |
FOCS |
1991 |
DBLP DOI BibTeX RDF |
read-twice DNF formulas, protocol, polynomial-time algorithm, Boolean formulas, membership queries, equivalence queries, disjunctive normal form, exact learning |
39 | Lisa Hellerstein, Vijay Raghavan 0002 |
Exact learning of DNF formulas using DNF hypotheses. |
J. Comput. Syst. Sci. |
2005 |
DBLP DOI BibTeX RDF |
|
37 | Khaled M. Elbassioni, Kazuhisa Makino, Imran Rauf |
On the Readability of Monotone Boolean Formulae. |
COCOON |
2009 |
DBLP DOI BibTeX RDF |
|
37 | Ian Davidson, S. S. Ravi |
The complexity of non-hierarchical clustering with instance and cluster level constraints. |
Data Min. Knowl. Discov. |
2007 |
DBLP DOI BibTeX RDF |
Non-hierarchical clustering, Complexity, Constraints |
37 | Petar Popovski, Hiroyuki Yomo |
Physical Network Coding in Two-Way Wireless Relay Channels. |
ICC |
2007 |
DBLP DOI BibTeX RDF |
|
37 | Ricard Gavaldà, Denis Thérien |
Algebraic Characterizations of Small Classes of Boolean Functions. |
STACS |
2003 |
DBLP DOI BibTeX RDF |
|
37 | Johannes Köbler, Wolfgang Lindner 0002 |
The Complexity of Learning Concept Classes with Polynomial General Dimension. |
ALT |
2002 |
DBLP DOI BibTeX RDF |
|
37 | Richard Nock, Pascal Jappy, Jean Sallantin |
Generalized Graph Colorability and Compressibility of Boolean Formulae. |
ISAAC |
1998 |
DBLP DOI BibTeX RDF |
|
37 | Ken Satoh |
Analysis of Case-Based Representability of Boolean Functions by Monotone Theory. |
ALT |
1998 |
DBLP DOI BibTeX RDF |
|
37 | Michael J. Kearns, Ming Li 0001, Leslie G. Valiant |
Learning Boolean Formulas. |
J. ACM |
1994 |
DBLP DOI BibTeX RDF |
machine learning, inductive inference |
35 | Tao Peng 0003, Wanli Zuo, Fengling He |
SVM based adaptive learning method for text classification from positive and unlabeled documents. |
Knowl. Inf. Syst. |
2008 |
DBLP DOI BibTeX RDF |
Improved 1-DNF algorithm, Focused web crawling, Machine learning, SVM, Text classification, PSO |
32 | Mineichi Kudo, Tetsuya Murai |
Extended DNF Expression and Variable Granularity in Information Tables. |
IEEE Trans. Fuzzy Syst. |
2008 |
DBLP DOI BibTeX RDF |
|
32 | Rong-Lei Sun |
Study on the Non-expandability of DNF and Its Application to Incremental Induction. |
ICIRA (1) |
2008 |
DBLP DOI BibTeX RDF |
Incremental induction, Machine learning, Artificial intelligence, Boolean algebra |
32 | Khaled M. Elbassioni |
On the Complexity of the Multiplication Method for Monotone CNF/DNF Dualization. |
ESA |
2006 |
DBLP DOI BibTeX RDF |
|
32 | Dan Boneh, Eu-Jin Goh, Kobbi Nissim |
Evaluating 2-DNF Formulas on Ciphertexts. |
TCC |
2005 |
DBLP DOI BibTeX RDF |
|
32 | Vitaly Feldman |
On Attribute Efficient and Non-adaptive Learning of Parities and DNF Expressions. |
COLT |
2005 |
DBLP DOI BibTeX RDF |
|
32 | Luca Trevisan |
A Note on Approximate Counting for k-DNF. |
APPROX-RANDOM |
2004 |
DBLP DOI BibTeX RDF |
|
32 | Nader H. Bshouty, Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio |
Learning DNF from Random Walks. |
FOCS |
2003 |
DBLP DOI BibTeX RDF |
|
32 | Frédéric Koriche, Joël Quinqueton |
Robust k-DNF Learning via Inductive Belief Merging. |
ECML |
2003 |
DBLP DOI BibTeX RDF |
|
32 | Andreas Alexander Albrecht, Kathleen Steinhöfel |
A Simulated Annealing-Based Learning Algorithm for Boolean DNF. |
Australian Joint Conference on Artificial Intelligence |
1999 |
DBLP DOI BibTeX RDF |
|
32 | Herna L. Viktor, Ian Cloete |
Extracting DNF Rules from Artificial Neural Networks. |
IWANN |
1995 |
DBLP DOI BibTeX RDF |
|
25 | Marcus Fontoura, Suhas Sadanandan, Jayavel Shanmugasundaram, Sergei Vassilvitskii, Erik Vee, Srihari Venkatesan, Jason Y. Zien |
Efficiently evaluating complex boolean expressions. |
SIGMOD Conference |
2010 |
DBLP DOI BibTeX RDF |
dewey, interval, boolean expressions, pub/sub |
25 | María A. Franco, Natalio Krasnogor, Jaume Bacardit |
Analysing bioHEL using challenging boolean functions. |
GECCO (Companion) |
2010 |
DBLP DOI BibTeX RDF |
evolutionary algorithms, learning classifier systems, rule induction, large-scale datasets |
25 | Dominique Bouthinon, Henry Soldano, Véronique Ventos |
Concept Learning from (Very) Ambiguous Examples. |
MLDM |
2009 |
DBLP DOI BibTeX RDF |
Symbolic concept-learning, Ambiguity, Incomplete data |
25 | Kalpesh Kapoor, Jonathan P. Bowen |
Test conditions for fault classes in Boolean specifications. |
ACM Trans. Softw. Eng. Methodol. |
2007 |
DBLP DOI BibTeX RDF |
Fault-based testing, Boolean specification, fault classes |
25 | Vitaly Feldman, Parikshit Gopalan, Subhash Khot, Ashok Kumar Ponnuswami |
New Results for Learning Noisy Parities and Halfspaces. |
FOCS |
2006 |
DBLP DOI BibTeX RDF |
|
25 | Ashish Sabharwal, Carlos Ansótegui, Carla P. Gomes, Justin W. Hart, Bart Selman |
QBF Modeling: Exploiting Player Symmetry for Simplicity and Efficiency. |
SAT |
2006 |
DBLP DOI BibTeX RDF |
|
25 | Peter Niebert, Doron A. Peled |
Efficient Model Checking for LTL with Partial Order Snapshots. |
TACAS |
2006 |
DBLP DOI BibTeX RDF |
|
25 | Byoung-Tak Zhang, Ha-Young Jang |
Molecular Learning of wDNF Formulae. |
DNA |
2005 |
DBLP DOI BibTeX RDF |
|
25 | Amos Fiat, Dmitry Pechyony |
Decision Trees: More Theoretical Justification for Practical Algorithms. |
ALT |
2004 |
DBLP DOI BibTeX RDF |
|
25 | Michael Schmitt 0001 |
An Improved VC Dimension Bound for Sparse Polynomials. |
COLT |
2004 |
DBLP DOI BibTeX RDF |
|
25 | Martin Zinkevich, Avrim Blum, Tuomas Sandholm |
On polynomial-time preference elicitation with value queries. |
EC |
2003 |
DBLP DOI BibTeX RDF |
learning, combinatorial auctions, preference elicitation |
25 | Johannes Köbler, Wolfgang Lindner 0002 |
A General Dimension for Approximately Learning Boolean Functions. |
ALT |
2002 |
DBLP DOI BibTeX RDF |
|
25 | Nader H. Bshouty, Lynn Burroughs |
On the Proper Learning of Axis Parallel Concepts. |
COLT |
2002 |
DBLP DOI BibTeX RDF |
|
25 | Nader H. Bshouty, Lynn Burroughs |
Bounds for the Minimum Disagreement Problem with Applications to Learning Theory. |
COLT |
2002 |
DBLP DOI BibTeX RDF |
|
25 | Nader H. Bshouty, Dmitry Gavinsky |
On Boosting with Optimal Poly-Bounded Distributions. |
COLT/EuroCOLT |
2001 |
DBLP DOI BibTeX RDF |
|
25 | Nader H. Bshouty, Vitaly Feldman |
On Using Extended Statistical Queries to Avoid Membership Queries. |
COLT/EuroCOLT |
2001 |
DBLP DOI BibTeX RDF |
|
25 | Christer Berg, Staffan Ulfberg |
Symmetric Approximation Arguments for Monotone Lower Bounds Without Sunflowers. |
Comput. Complex. |
1999 |
DBLP DOI BibTeX RDF |
lower bounds, Circuit complexity, monotone circuits |
25 | Christopher Umans |
Hardness of Approximating Sigma2p Minimization Problems. |
FOCS |
1999 |
DBLP DOI BibTeX RDF |
computational complexity, hardness of approximation, logic minimization, dispersers, polynomial hierarchy |
25 | Christopher Umans |
On the Complexity and Inapproximability of Shortest Implicant Problems. |
ICALP |
1999 |
DBLP DOI BibTeX RDF |
|
25 | Jeffrey C. Jackson, Eli Shamir 0001, Clara Shwartzman |
Learning with Queries Corrupted by Classification Noise. |
ISTCS |
1997 |
DBLP DOI BibTeX RDF |
|
25 | Jae-Young Chang, Sang-goo Lee |
An optimization of disjunctive queries: union-pushdown. |
COMPSAC |
1997 |
DBLP DOI BibTeX RDF |
disjunctive query optimization, disjunctive predicates, plan generation, union-pushdown, performance analysis, query processing, query optimizers |
25 | Lawrence Peh, Chi Ping Tsang |
Weight Sensitive Boolean Extraction Produces Compact Expressions. |
Australian Joint Conference on Artificial Intelligence |
1997 |
DBLP DOI BibTeX RDF |
weight sensitivity, neural network, rule extraction, boolean expression, disjunctive normal form |
25 | Francis K. H. Quek, Meide Zhao |
Inductive learning in hand pose recognition. |
FG |
1996 |
DBLP DOI BibTeX RDF |
hand pose recognition, gestural systems, user hand anatomy, perspective effects, rulebase, disjunctive normal form formulae, rule-based induction system, flexible matching, inductive learning, learning by example |
25 | Hartmut Klauck |
On the Hardness of Global and Local Approximation. |
SWAT |
1996 |
DBLP DOI BibTeX RDF |
|
25 | Thomas R. Hancock, Tao Jiang 0001, Ming Li 0001, John Tromp |
Lower Bounds on Learning Decision Lists and Trees (Extended Abstract). |
STACS |
1995 |
DBLP DOI BibTeX RDF |
|
25 | Robert H. Sloan, György Turán |
Learning with Queries but Incomplete Information (Extended Abstract). |
COLT |
1994 |
DBLP DOI BibTeX RDF |
|
25 | Michael Frazier, Sally A. Goldman, Nina Mishra, Leonard Pitt |
Learning from a Consistently Ignorant Teacher. |
COLT |
1994 |
DBLP DOI BibTeX RDF |
|
25 | Der-Shung Yang, Gunnar Blix, Larry A. Rendell |
The Replication Problem: A Constructive Induction Approach. |
EWSL |
1991 |
DBLP DOI BibTeX RDF |
Empirical learning, constructive induction |
23 | Evangelos Triantaphyllou, Jennifer Austin-Rodriguez |
Optimization in Boolean Classification Problems. |
Encyclopedia of Optimization |
2009 |
DBLP DOI BibTeX RDF |
Inductive inference problem, Boolean classification problem, Minimum number of clauses, One clause at a time approach, OCAT, GRASP approach, Randomized heuristics, Missing information, Unclassifiable examples, SAT, Learning algorithm, Medical diagnosis, Conjunctive normal form, CNF, Satisfiability problem, Disjunctive normal form, DNF |
23 | Vetle I. Torvik, Evangelos Triantaphyllou |
Inference of Monotone Boolean Functions. |
Encyclopedia of Optimization |
2009 |
DBLP DOI BibTeX RDF |
Isotone Boolean function, Antitone Boolean function, Boolean function inference problem, Free distributive lattice, Interactive learning of Boolean functions, Shannon function, Hansel theorem, Hansel chain, Sequential Hansel chains question-asking strategy, Binary search-Hansel chains question-asking strategy, Boolean function, Conjunctive normal form, CNF, Binary search, Classification problem, Disjunctive normal form, DNF, Monotone Boolean function |
23 | Salvador Nieto Sánchez, Evangelos Triantaphyllou |
Optimization in Classifying Text Documents. |
Encyclopedia of Optimization |
2009 |
DBLP DOI BibTeX RDF |
Indexing terms, Context descriptors, Document surrogate, Principle of least effort, PLE, One clause at a time algorithm, OCAT, Indexing vocabulary, Optimal indexing vocabulary, Semantic analysis methodologies, Word patterns, Text classification, Document classification, Computational linguistics, Vector space model, Keywords, Conjunctive normal form, CNF, Disjunctive normal form, DNF, VSM |
23 | Nader H. Bshouty |
Exact Learning via the Monotone Theory (Extended Abstract) |
FOCS |
1993 |
DBLP DOI BibTeX RDF |
Monotone theory, decision trees, boolean function, learnability, membership, CNF, equivalence queries, DNF, exact learning, concept classes |