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Sandra Zilles
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- affiliation: University of Regina, Canada
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2020 – today
- 2024
- [j39]Yuan Xue, Boting Yang, Sandra Zilles:
The zero-visibility cops and robber game on graph products. Theor. Comput. Sci. 1007: 114676 (2024) - [j38]Mohamadsadegh Khosravani, Sandra Zilles:
Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c83]Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles:
Approximation Algorithms for Preference Aggregation Using CP-Nets. AAAI 2024: 10433-10441 - [c82]Shaun M. Fallat, Valerii Maliuk, Seyed Ahmad Mojallal, Sandra Zilles:
Learning Hypertrees From Shortest Path Queries. ALT 2024: 574-589 - [c81]S. Mahmoud Mousawi, Sandra Zilles
:
Positive Characteristic Sets for Relational Pattern Languages. SOFSEM 2024: 398-412 - 2023
- [j37]Yuan Xue, Boting Yang
, Sandra Zilles, Lusheng Wang:
Fast searching on cactus graphs. J. Comb. Optim. 45(3): 84 (2023) - [j36]Shaun M. Fallat, David G. Kirkpatrick, Hans Ulrich Simon, Abolghasem Soltani, Sandra Zilles:
On Batch Teaching Without Collusion. J. Mach. Learn. Res. 24: 40:1-40:33 (2023) - [j35]Dana Fisman, Hadar Frenkel, Sandra Zilles:
Inferring Symbolic Automata. Log. Methods Comput. Sci. 19(2) (2023) - [i12]Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles:
Approximation Algorithms for Preference Aggregation Using CP-Nets. CoRR abs/2312.09162 (2023) - 2022
- [j34]Yuan Xue, Boting Yang
, Sandra Zilles:
A simple method for proving lower bounds in the zero-visibility cops and robber game. J. Comb. Optim. 43(5): 1545-1570 (2022) - [c80]Yuan Xue, Boting Yang, Sandra Zilles:
Fast Searching on k-Combinable Graphs. AAIM 2022: 394-405 - [c79]Elham Parhizkar, Mohammad Hossein Nikravan, Robert C. Holte, Sandra Zilles:
Using Change Detection to Adapt to Dynamically Changing Trustees. Canadian AI 2022 - [c78]Robert C. Holte, S. Mahmoud Mousawi, Sandra Zilles:
Distinguishing Relational Pattern Languages With a Small Number of Short Strings. ALT 2022: 498-514 - [c77]Dana Fisman, Hadar Frenkel, Sandra Zilles:
Inferring Symbolic Automata. CSL 2022: 21:1-21:19 - [c76]N. C. Ruckiya Sinorina, Howard J. Hamilton, Sandra Zilles:
Efficient Removal of Weak Associations in Consensus Clustering. ICAART (3) 2022: 326-335 - [c75]Farnam Mansouri, Hans Simon, Adish Singla, Sandra Zilles:
On Batch Teaching with Sample Complexity Bounded by VCD. NeurIPS 2022 - [i11]Mohamadsadegh Khosravani, Sandra Zilles:
Actively Learning Deep Neural Networks with Uncertainty Sampling Based on Sum-Product Networks. CoRR abs/2206.09798 (2022) - 2021
- [c74]Mohammad Hossein Nikravan, Marjan Movahedan, Sandra Zilles:
Precision-based Boosting. AAAI 2021: 9153-9160 - [c73]Abu Mohammad Hammad Ali, Howard J. Hamilton, Elizabeth Rayner, Boting Yang, Sandra Zilles:
Aggregating Preferences Represented by Conditional Preference Networks. ADT 2021: 3-18 - [i10]Dana Fisman, Hadar Frenkel, Sandra Zilles:
Inferring Symbolic Automata. CoRR abs/2112.14252 (2021) - 2020
- [j33]Eisa Alanazi
, Malek Mouhoub, Sandra Zilles:
The complexity of exact learning of acyclic conditional preference networks from swap examples. Artif. Intell. 278 (2020) - [j32]Ashwani Kumar, Ali Hosseinnia, Alla Gagarinova, Sadhna Phanse, Sunyoung Kim, Khaled A Aly
, Sandra Zilles, Mohan Babu
:
A Gaussian process-based definition reveals new and bona fide genetic interactions compared to a multiplicative model in the Gram-negative Escherichia coli. Bioinform. 36(3): 880-889 (2020) - [j31]Fahimeh Bayeh, Ziyuan Gao, Sandra Zilles:
Finitely distinguishable erasing pattern languages. Theor. Comput. Sci. 808: 38-73 (2020) - [c72]Elham Parhizkar, Mohammad Hossein Nikravan, Robert C. Holte, Sandra Zilles:
Combining Direct Trust and Indirect Trust in Multi-Agent Systems. IJCAI 2020: 311-317 - [c71]M. Amir Salmaninejad, Sandra Zilles, René V. Mayorga:
Motion Path Planning of Two Robot Arms in a Common Workspace. SMC 2020: 45-51 - [i9]Dana Fisman, Hadar Frenkel, Sandra Zilles:
On the Complexity of Symbolic Finite-State Automata. CoRR abs/2011.05389 (2020)
2010 – 2019
- 2019
- [c70]Robert C. Holte, Sandra Zilles:
On the Optimal Efficiency of Cost-Algebraic A. AAAI 2019: 2288-2295 - [c69]Yuan Xue, Boting Yang, Sandra Zilles:
New Results on the Zero-Visibility Cops and Robber Game. AAIM 2019: 316-328 - [c68]David G. Kirkpatrick, Hans Ulrich Simon, Sandra Zilles:
Optimal Collusion-Free Teaching. ALT 2019: 506-528 - [c67]Elham Parhizkar, Mohammad Hossein Nikravan, Sandra Zilles:
Indirect Trust is Simple to Establish. IJCAI 2019: 3216-3222 - [c66]Yuan Xue, Boting Yang, Farong Zhong, Sandra Zilles:
A Partition Approach to Lower Bounds for Zero-Visibility Cops and Robber. IWOCA 2019: 442-454 - [i8]David G. Kirkpatrick, Hans Ulrich Simon, Sandra Zilles:
Optimal Collusion-Free Teaching. CoRR abs/1903.04012 (2019) - 2018
- [j30]Yuan Xue, Boting Yang, Farong Zhong, Sandra Zilles:
The Fast Search Number of a Complete k-Partite Graph. Algorithmica 80(12): 3959-3981 (2018) - [j29]Ziyuan Gao, Hans Ulrich Simon
, Sandra Zilles:
On the teaching complexity of linear sets. Theor. Comput. Sci. 716: 107-123 (2018) - [i7]Eisa Alanazi, Malek Mouhoub, Sandra Zilles:
Interactive Learning of Acyclic Conditional Preference Networks. CoRR abs/1801.03968 (2018) - [i6]Xiaojin Zhu, Adish Singla, Sandra Zilles, Anna N. Rafferty:
An Overview of Machine Teaching. CoRR abs/1801.05927 (2018) - 2017
- [j28]Ziyuan Gao, Zeinab Mazadi, Regan Meloche, Hans Ulrich Simon
, Sandra Zilles:
Distinguishing pattern languages with membership examples. Inf. Comput. 256: 348-371 (2017) - [j27]Ziyuan Gao, Christoph Ries, Hans Ulrich Simon, Sandra Zilles:
Preference-based Teaching. J. Mach. Learn. Res. 18: 31:1-31:32 (2017) - [c65]Jürgen Eckerle, Jingwei Chen, Nathan R. Sturtevant, Sandra Zilles, Robert C. Holte:
Sufficient Conditions for Node Expansion in Bidirectional Heuristic Search. ICAPS 2017: 79-87 - [c64]Fahimeh Bayeh, Ziyuan Gao, Sandra Zilles:
Erasing Pattern Languages Distinguishable by a Finite Number of Strings. ALT 2017: 72-108 - [c63]Ziyuan Gao, David G. Kirkpatrick, Christoph Ries, Hans Ulrich Simon, Sandra Zilles:
Preference-based Teaching of Unions of Geometric Objects. ALT 2017: 185-207 - [c62]Jingwei Chen, Robert C. Holte, Sandra Zilles, Nathan R. Sturtevant:
Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions. IJCAI 2017: 489-495 - [i5]Ziyuan Gao, Christoph Ries, Hans Ulrich Simon, Sandra Zilles:
Preference-based Teaching. CoRR abs/1702.02047 (2017) - [i4]Jingwei Chen, Robert C. Holte, Sandra Zilles, Nathan R. Sturtevant:
Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions. CoRR abs/1703.03868 (2017) - [i3]Mehdi Sadeqi, Robert C. Holte, Sandra Zilles:
An Empirical Study of the Effects of Spurious Transitions on Abstraction-based Heuristics. CoRR abs/1711.05105 (2017) - 2016
- [j26]Levi H. S. Lelis, Roni Stern
, Shahab Jabbari Arfaee, Sandra Zilles, Ariel Felner
, Robert C. Holte:
Predicting optimal solution costs with bidirectional stratified sampling in regular search spaces. Artif. Intell. 230: 51-73 (2016) - [j25]Hassan Waqar Ahmad, Sandra Zilles, Howard J. Hamilton, Richard Dosselmann:
Prediction of retail prices of products using local competitors. Int. J. Bus. Intell. Data Min. 11(1): 19-30 (2016) - [j24]Ziyuan Gao, Frank Stephan
, Sandra Zilles:
Partial learning of recursively enumerable languages. Theor. Comput. Sci. 620: 15-32 (2016) - [j23]Malte Darnstädt, Thorsten Kiss, Hans Ulrich Simon
, Sandra Zilles:
Order compression schemes. Theor. Comput. Sci. 620: 73-90 (2016) - [c61]Achilles Beros, Ziyuan Gao, Sandra Zilles:
Classifying the Arithmetical Complexity of Teaching Models. ALT 2016: 145-160 - [c60]Yuan Xue, Boting Yang, Farong Zhong, Sandra Zilles:
Fast Searching on Complete k-partite Graphs. COCOA 2016: 159-174 - [c59]Ziyuan Gao, Christoph Ries, Hans Ulrich Simon, Sandra Zilles:
Preference-based Teaching. COLT 2016: 971-997 - [c58]Eisa Alanazi, Malek Mouhoub, Sandra Zilles:
The Complexity of Learning Acyclic CP-Nets. IJCAI 2016: 1361-1367 - [c57]Levi H. S. Lelis, Santiago Franco, Marvin Abisrror, Mike Barley, Sandra Zilles, Robert C. Holte:
Heuristic Subset Selection in Classical Planning. IJCAI 2016: 3185-3191 - [c56]Shankar Vembu, Sandra Zilles:
Interactive Learning from Multiple Noisy Labels. ECML/PKDD (1) 2016: 493-508 - [e5]Ronald Ortner, Hans Ulrich Simon
, Sandra Zilles:
Algorithmic Learning Theory - 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings. Lecture Notes in Computer Science 9925, 2016, ISBN 978-3-319-46378-0 [contents] - [r2]Sandra Zilles:
Inductive Inference. Encyclopedia of Algorithms 2016: 977-980 - [i2]Shankar Vembu, Sandra Zilles:
Interactive Learning from Multiple Noisy Labels. CoRR abs/1607.06988 (2016) - 2015
- [c55]Ziyuan Gao, Frank Stephan
, Sandra Zilles:
Combining Models of Approximation with Partial Learning. ALT 2015: 56-70 - [c54]Ziyuan Gao, Hans Ulrich Simon
, Sandra Zilles:
On the Teaching Complexity of Linear Sets. ALT 2015: 102-116 - [c53]Hans Ulrich Simon, Sandra Zilles:
Open Problem: Recursive Teaching Dimension Versus VC Dimension. COLT 2015: 1770-1772 - [c52]Mohammad Hossein Nikravan, Ashwani Kumar, Sandra Zilles:
Detecting Transmembrane Proteins Using Decision Trees. Discovery Science 2015: 146-160 - [e4]Kamalika Chaudhuri, Claudio Gentile, Sandra Zilles:
Algorithmic Learning Theory - 26th International Conference, ALT 2015, Banff, AB, Canada, October 4-6, 2015, Proceedings. Lecture Notes in Computer Science 9355, Springer 2015, ISBN 978-3-319-24485-3 [contents] - [i1]Ziyuan Gao, Frank Stephan, Sandra Zilles:
Combining Models of Approximation with Partial Learning. CoRR abs/1507.01215 (2015) - 2014
- [j22]Levi H. S. Lelis, Roni Stern
, Ariel Felner
, Sandra Zilles, Robert C. Holte:
Predicting optimal solution cost with conditional probabilities - Predicting optimal solution cost. Ann. Math. Artif. Intell. 72(3-4): 267-295 (2014) - [j21]David G. Kirkpatrick, Boting Yang, Sandra Zilles:
A Polynomial-Time Algorithm for Computing the Resilience of Arrangements of Ray Sensors. Int. J. Comput. Geom. Appl. 24(3): 225-236 (2014) - [j20]Thorsten Doliwa, Gaojian Fan, Hans Ulrich Simon, Sandra Zilles:
Recursive teaching dimension, VC-dimension and sample compression. J. Mach. Learn. Res. 15(1): 3107-3131 (2014) - [j19]Rahim Samei, Pavel Semukhin
, Boting Yang, Sandra Zilles:
Algebraic methods proving Sauer's bound for teaching complexity. Theor. Comput. Sci. 558: 35-50 (2014) - [c51]Mehdi Sadeqi, Robert C. Holte, Sandra Zilles:
A Comparison of h 2 and MMM for Mutex Pair Detection Applied to Pattern Databases. Canadian AI 2014: 227-238 - [c50]Muhammad Rezaul Karim, Sandra Zilles:
Robust Features for Detecting Evasive Spammers in Twitter. Canadian AI 2014: 295-300 - [c49]Peter Auer, Alexander Clark, Thomas Zeugmann, Sandra Zilles:
Editors' Introduction. ALT 2014: 1-7 - [c48]Rahim Samei, Boting Yang, Sandra Zilles:
Generalizing Labeled and Unlabeled Sample Compression to Multi-label Concept Classes. ALT 2014: 275-290 - [c47]Rahim Samei, Pavel Semukhin, Boting Yang, Sandra Zilles:
Sample Compression for Multi-label Concept Classes. COLT 2014: 371-393 - [c46]Zeinab Mazadi, Ziyuan Gao, Sandra Zilles:
Distinguishing Pattern Languages with Membership Examples. LATA 2014: 528-540 - [e3]Peter Auer
, Alexander Clark, Thomas Zeugmann, Sandra Zilles:
Algorithmic Learning Theory - 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014. Proceedings. Lecture Notes in Computer Science 8776, Springer 2014, ISBN 978-3-319-11661-7 [contents] - 2013
- [j18]Levi H. S. Lelis, Sandra Zilles, Robert C. Holte:
Predicting the size of IDA*'s search tree. Artif. Intell. 196: 53-76 (2013) - [j17]Sanjay Jain, Samuel E. Moelius III, Sandra Zilles:
Learning without coding. Theor. Comput. Sci. 473: 124-148 (2013) - [c45]Ziyuan Gao, Frank Stephan
, Sandra Zilles:
Partial Learning of Recursively Enumerable Languages. ALT 2013: 113-127 - [c44]Malte Darnstädt, Thorsten Doliwa, Hans Ulrich Simon
, Sandra Zilles:
Order Compression Schemes. ALT 2013: 173-187 - [c43]Levi H. S. Lelis, Sandra Zilles, Robert C. Holte:
Stratified tree search: a novel suboptimal heuristic search algorithm. AAMAS 2013: 555-562 - [c42]Mehdi Sadeqi, Robert C. Holte, Sandra Zilles:
Detecting Mutex Pairs in State Spaces by Sampling. Australasian Conference on Artificial Intelligence 2013: 490-501 - [c41]Cristina E. Manfredotti
, Kim Steenstrup Pedersen
, Howard J. Hamilton, Sandra Zilles:
Learning Models of Activities Involving Interacting Objects. IDA 2013: 285-297 - [c40]Mehdi Sadeqi, Robert C. Holte, Sandra Zilles:
Using Coarse State Space Abstractions to Detect Mutex Pairs. SARA 2013 - [e2]Osmar R. Zaïane, Sandra Zilles:
Advances in Artificial Intelligence, 26th Canadian Conference on Artificial Intelligence, Canadian AI 2013, Regina, SK, Canada, May 28-31, 2013. Proceedings. Lecture Notes in Computer Science 7884, Springer 2013, ISBN 978-3-642-38456-1 [contents] - 2012
- [c39]Levi Lelis, Sandra Zilles, Robert C. Holte:
Fast and Accurate Predictions of IDA*'s Performance. AAAI 2012: 514-520 - [c38]Levi Lelis, Roni Stern, Ariel Felner, Sandra Zilles, Robert C. Holte:
Predicting Optimal Solution Cost with Bidirectional Stratified Sampling. ICAPS 2012 - [c37]Rahim Samei, Pavel Semukhin
, Boting Yang, Sandra Zilles:
Sauer's Bound for a Notion of Teaching Complexity. ALT 2012: 96-110 - [c36]Shahin Jabbari, Robert C. Holte, Sandra Zilles:
PAC-Learning with General Class Noise Models. KI 2012: 73-84 - [c35]Xiaomin Zhang, Sandra Zilles, Robert C. Holte:
Improved Query Suggestion by Query Search. KI 2012: 205-216 - [c34]Michael Geilke, Sandra Zilles:
Polynomial-Time Algorithms for Learning Typed Pattern Languages. LATA 2012: 277-288 - [c33]Levi H. S. Lelis, Shahab Jabbari Arfaee, Sandra Zilles, Robert C. Holte:
Learning Heuristic Functions Faster by Using Predicted Solution Costs. SOCS 2012: 166-167 - [c32]Levi H. S. Lelis, Roni Stern, Ariel Felner, Sandra Zilles, Robert C. Holte:
Predicting Optimal Solution Cost with Bidirectional Stratified Sampling (Abstract). SOCS 2012: 186-187 - 2011
- [j16]Shahab Jabbari Arfaee, Sandra Zilles, Robert C. Holte:
Learning heuristic functions for large state spaces. Artif. Intell. 175(16-17): 2075-2098 (2011) - [j15]Sandra Zilles, Steffen Lange, Robert Holte, Martin Zinkevich:
Models of Cooperative Teaching and Learning. J. Mach. Learn. Res. 12: 349-384 (2011) - [j14]Gábor Lugosi
, Sandra Zilles:
Preface. Theor. Comput. Sci. 412(19): 1755 (2011) - [c31]Levi Lelis, Sandra Zilles, Robert C. Holte:
Time Complexity of Iterative-Deepening A*: The Informativeness Pathology (Abstract). AAAI 2011: 1800-1801 - [c30]Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier:
A Bayesian Concept Learning Approach to Crowdsourcing. Interactive Decision Theory and Game Theory 2011 - [c29]Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier:
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach. ADT 2011: 277-291 - [c28]Michael Geilke, Sandra Zilles:
Learning Relational Patterns. ALT 2011: 84-98 - [c27]Samuel E. Moelius, Sandra Zilles:
Erratum: Learning without Coding. ALT 2011: 452 - [c26]Cristina E. Manfredotti
, David J. Fleet
, Howard J. Hamilton, Sandra Zilles:
Simultaneous Tracking and Activity Recognition. ICTAI 2011: 189-196 - [c25]Paolo Viappiani, Sandra Zilles, Howard J. Hamilton, Craig Boutilier:
A Bayesian Concept Learning Approach to Crowdsourcing. ITWP@IJCAI 2011 - [c24]Levi Lelis, Sandra Zilles, Robert C. Holte:
Improved Prediction of IDA*'s Performance via Epsilon-Truncation. SOCS 2011: 108-116 - [c23]David G. Kirkpatrick, Sandra Zilles:
Competitive Search in Symmetric Trees. WADS 2011: 560-570 - 2010
- [j13]Sandra Zilles, Robert C. Holte:
The computational complexity of avoiding spurious states in state space abstraction. Artif. Intell. 174(14): 1072-1092 (2010) - [j12]Gábor Bartók, Csaba Szepesvári, Sandra Zilles:
Models of active learning in group-structured state spaces. Inf. Comput. 208(4): 364-384 (2010) - [j11]Sanjay Jain, Steffen Lange, Samuel E. Moelius, Sandra Zilles:
Incremental learning with temporary memory. Theor. Comput. Sci. 411(29-30): 2757-2772 (2010) - [c22]Thorsten Doliwa, Hans Ulrich Simon
, Sandra Zilles:
Recursive Teaching Dimension, Learning Complexity, and Maximum Classes. ALT 2010: 209-223 - [c21]Samuel E. Moelius, Sandra Zilles:
Learning without Coding. ALT 2010: 300-314 - [c20]Shahab Jabbari Arfaee, Sandra Zilles, Robert C. Holte:
Bootstrap Learning of Heuristic Functions. SOCS 2010: 52-60
2000 – 2009
- 2009
- [c19]Andrew Foss, Osmar R. Zaïane, Sandra Zilles:
Unsupervised Class Separation of Multivariate Data through Cumulative Variance-Based Ranking. ICDM 2009: 139-148 - [c18]Sandra Zilles, Robert C. Holte:
Downward Path Preserving State Space Abstractions (Extended Abstract). SARA 2009 - [c17]Shen Jiang, Sandra Zilles, Robert C. Holte:
Query Suggestion by Query Search: A New Approach to User Support in Web Search. Web Intelligence 2009: 679-684 - [e1]Ricard Gavaldà, Gábor Lugosi, Thomas Zeugmann, Sandra Zilles:
Algorithmic Learning Theory, 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009. Proceedings. Lecture Notes in Computer Science 5809, Springer 2009, ISBN 978-3-642-04413-7 [contents] - 2008
- [j10]John Case, Takeshi Shinohara, Thomas Zeugmann, Sandra Zilles:
Foreword. Theor. Comput. Sci. 397(1-3): 1-3 (2008) - [j9]Thomas Zeugmann, Sandra Zilles:
Learning recursive functions: A survey. Theor. Comput. Sci. 397(1-3): 4-56 (2008) - [j8]Steffen Lange, Thomas Zeugmann, Sandra Zilles:
Learning indexed families of recursive languages from positive data: A survey. Theor. Comput. Sci. 397(1-3): 194-232 (2008) - [c16]Randy Goebel, Sandra Zilles, Christoph Ringlstetter, Andreas Dengel, Gunnar Aastrand Grimnes:
What Is the Role of the Semantic Layer Cake for Guiding the Use of Knowledge Representation and Machine Learning in the Development of the Semantic Web? AAAI Spring Symposium: Symbiotic Relationships between Semantic Web and Knowledge Engineering 2008: 45-50 - [c15]Gábor Bartók, Csaba Szepesvári, Sandra Zilles:
Active Learning of Group-Structured Environments. ALT 2008: 329-343 - [c14]Steffen Lange, Samuel E. Moelius, Sandra Zilles:
Learning with Temporary Memory. ALT 2008: 449-463 - [c13]Sandra Zilles, Steffen Lange, Robert Holte, Martin Zinkevich:
Teaching Dimensions based on Cooperative Learning. COLT 2008: 135-146 - [c12]Shen Jiang, Sandra Zilles, Robert Holte:
Empirical Analysis of the Rank Distribution of Relevant Documents in Web Search. Web Intelligence 2008: 208-213 - [r1]Sandra Zilles:
Inductive Inference. Encyclopedia of Algorithms 2008 - 2007
- [j7]Sanjay Jain, Steffen Lange, Sandra Zilles:
Some natural conditions on incremental learning. Inf. Comput. 205(11): 1671-1684 (2007) - [j6]Sanjay Jain, Steffen Lange, Sandra Zilles:
A general comparison of language learning from examples and from queries. Theor. Comput. Sci. 387(1): 51-66 (2007) - 2006
- [j5]Sandra Zilles:
An approach to intrinsic complexity of uniform learning. Theor. Comput. Sci. 364(1): 42-61 (2006) - [c11]Sanjay Jain, Steffen Lange, Sandra Zilles:
Towards a Better Understanding of Incremental Learning. ALT 2006: 169-183 - 2005
- [j4]Steffen Lange, Sandra Zilles:
Relations between Gold-style learning and query learning. Inf. Comput. 203(2): 211-237 (2005) - [j3]Sandra Zilles:
Increasing the power of uniform inductive learners. J. Comput. Syst. Sci. 70(4): 510-538 (2005) - [c10]Sanjay Jain, Steffen Lange, Sandra Zilles:
Gold-Style and Query Learning Under Various Constraints on the Target Class. ALT 2005: 226-240 - [c9]Steffen Lange, Sandra Zilles:
Algorithmic Learning: Formal Models and Prototypical Applications. Leipziger Informatik-Tage 2005: 57-80 - [c8]Bertin Klein, Tristan Miller, Sandra Zilles:
Security Issues for Pervasive Personalized Communication Systems. SPC 2005: 56-62 - 2004
- [j2]Steffen Lange, Sandra Zilles:
Formal language identification: query learning vs. Gold-style learning. Inf. Process. Lett. 91(6): 285-292 (2004) - [j1]Sandra Zilles:
Separation of uniform learning classes. Theor. Comput. Sci. 313(2): 229-265 (2004) - [c7]Steffen Lange, Sandra Zilles:
Comparison of Query Learning and Gold-Style Learning in Dependence of the Hypothesis Space. ALT 2004: 99-113 - [c6]Steffen Lange, Sandra Zilles:
Replacing Limit Learners with Equally Powerful One-Shot Query Learners. COLT 2004: 155-169 - 2003
- [b1]Sandra Zilles:
Uniform learning of recursive functions. University of Kaiserslautern, 2003, ISBN 3-89838-278-8, pp. 1-168 - [c5]Sandra Zilles:
Intrinsic Complexity of Uniform Learning. ALT 2003: 39-53 - [c4]Steffen Lange, Sandra Zilles:
On the Learnability of Erasing Pattern Languages in the Query Model. ALT 2003: 129-143 - 2002
- [c3]Sandra Zilles:
Merging Uniform Inductive Learners. COLT 2002: 201-215 - 2001
- [c2]Sandra Zilles:
On the Comparison of Inductive Inference Criteria for Uniform Learning of Finite Classes. ALT 2001: 251-266 - [c1]Sandra Zilles:
On the Synthesis of Strategies Identifying Recursive Functions. COLT/EuroCOLT 2001: 160-176
Coauthor Index
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