2008 |
45 | | Saket Joshi,
Roni Khardon:
Stochastic Planning with First Order Decision Diagrams.
ICAPS 2008: 156-163 |
2007 |
44 | EE | Gabriel Wachman,
Roni Khardon:
Learning from interpretations: a rooted kernel for ordered hypergraphs.
ICML 2007: 943-950 |
43 | EE | Chenggang Wang,
Saket Joshi,
Roni Khardon:
First Order Decision Diagrams for Relational MDPs.
IJCAI 2007: 1095-1100 |
42 | EE | Gemma C. Garriga,
Roni Khardon,
Luc De Raedt:
On Mining Closed Sets in Multi-Relational Data.
IJCAI 2007: 804-809 |
41 | EE | Roni Khardon,
Gabriel Wachman:
Noise Tolerant Variants of the Perceptron Algorithm.
Journal of Machine Learning Research 8: 227-248 (2007) |
2006 |
40 | EE | Marta Arias,
Aaron Feigelson,
Roni Khardon,
Rocco A. Servedio:
Polynomial certificates for propositional classes.
Inf. Comput. 204(5): 816-834 (2006) |
39 | EE | Roni Khardon,
Marta Arias:
The subsumption lattice and query learning.
J. Comput. Syst. Sci. 72(1): 72-94 (2006) |
38 | EE | Marta Arias,
Roni Khardon:
Complexity parameters for first order classes.
Machine Learning 64(1-3): 121-144 (2006) |
2005 |
37 | EE | Roni Khardon,
Dan Roth,
Rocco A. Servedio:
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms.
J. Artif. Intell. Res. (JAIR) 24: 341-356 (2005) |
36 | EE | Roni Khardon,
Rocco A. Servedio:
Maximum Margin Algorithms with Boolean Kernels.
Journal of Machine Learning Research 6: 1405-1429 (2005) |
2004 |
35 | EE | Marta Arias,
Roni Khardon:
The Subsumption Lattice and Query Learning.
ALT 2004: 410-424 |
34 | EE | Marta Arias,
Roni Khardon:
Bottom-Up ILP Using Large Refinement Steps.
ILP 2004: 26-43 |
33 | EE | Naoki Abe,
Roni Khardon:
Foreword.
Theor. Comput. Sci. 313(2): 173-174 (2004) |
2003 |
32 | EE | Marta Arias,
Roni Khardon,
Rocco A. Servedio:
Polynomial Certificates for Propositional Classes.
COLT 2003: 537-551 |
31 | EE | Roni Khardon,
Rocco A. Servedio:
Maximum Margin Algorithms with Boolean Kernels.
COLT 2003: 87-101 |
30 | EE | Marta Arias,
Roni Khardon:
Complexity Parameters for First-Order Classes.
ILP 2003: 22-37 |
29 | EE | Dimitrios Gunopulos,
Roni Khardon,
Heikki Mannila,
Sanjeev Saluja,
Hannu Toivonen,
Ram Sewak Sharm:
Discovering all most specific sentences.
ACM Trans. Database Syst. 28(2): 140-174 (2003) |
2002 |
28 | EE | Marta Arias,
Roni Khardon:
Learning Closed Horn Expressions.
Inf. Comput. 178(1): 214-240 (2002) |
2001 |
27 | | Naoki Abe,
Roni Khardon,
Thomas Zeugmann:
Algorithmic Learning Theory, 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001, Proceedings
Springer 2001 |
26 | EE | Naoki Abe,
Roni Khardon,
Thomas Zeugmann:
Editors' Introduction.
ALT 2001: 1-8 |
25 | EE | Roni Khardon,
Dan Roth,
Rocco A. Servedio:
Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms.
NIPS 2001: 423-430 |
2000 |
24 | | Roni Khardon:
Learning Horn Expressions with LogAn-H.
ICML 2000: 471-478 |
23 | EE | Marta Arias,
Roni Khardon:
A New Algorithm for Learning Range Restricted Horn Expressions.
ILP 2000: 21-39 |
1999 |
22 | EE | Roni Khardon:
Learning Range Restricted Horn Expressions.
EuroCOLT 1999: 111-125 |
21 | | Roni Khardon,
Dan Roth,
Leslie G. Valiant:
Relational Learning for NLP using Linear Threshold Elements.
IJCAI 1999: 911-919 |
20 | EE | Roni Khardon,
Heikki Mannila,
Dan Roth:
Reasoning with Examples: Propositional Formulae and Database Dependencies.
Acta Inf. 36(4): 267-286 (1999) |
19 | EE | Roni Khardon:
Learning Action Strategies for Planning Domains.
Artif. Intell. 113(1-2): 125-148 (1999) |
18 | | Roni Khardon:
Learning to Take Actions.
Machine Learning 35(1): 57-90 (1999) |
17 | | Roni Khardon,
Dan Roth:
Learning to Reason with a Restricted View.
Machine Learning 35(2): 95-116 (1999) |
16 | | Roni Khardon:
Learning Function-Free Horn Expressions.
Machine Learning 37(3): 241-275 (1999) |
1998 |
15 | EE | Roni Khardon:
Learning First Order Universal Horn Expressions.
COLT 1998: 154-165 |
14 | EE | Howard Aizenstein,
Avrim Blum,
Roni Khardon,
Eyal Kushilevitz,
Leonard Pitt,
Dan Roth:
On Learning Read-k-Satisfy-j DNF.
SIAM J. Comput. 27(6): 1515-1530 (1998) |
1997 |
13 | EE | Dimitrios Gunopulos,
Roni Khardon,
Heikki Mannila,
Hannu Toivonen:
Data mining, Hypergraph Transversals, and Machine Learning.
PODS 1997: 209-216 |
12 | EE | Roni Khardon,
Dan Roth:
Defaults and Relevance in Model-Based Reasoning.
Artif. Intell. 97(1-2): 169-193 (1997) |
11 | EE | Roni Khardon,
Dan Roth:
Learning to reason.
J. ACM 44(5): 697-725 (1997) |
1996 |
10 | | Roni Khardon:
Learning to Take Actions.
AAAI/IAAI, Vol. 1 1996: 787-792 |
9 | EE | Roni Khardon,
Dan Roth:
Reasoning with Models.
Artif. Intell. 87(1-2): 187-213 (1996) |
8 | | Roni Khardon,
Shlomit S. Pinter:
Partitioning and Scheduling to Counteract Overhead.
Parallel Computing 22(4): 555-593 (1996) |
1995 |
7 | EE | Roni Khardon,
Dan Roth:
Learning to Reason with a Restricted View.
COLT 1995: 301-310 |
6 | | Roni Khardon,
Dan Roth:
Default-Reasoning with Models.
IJCAI 1995: 319-327 |
5 | | Roni Khardon:
Translating between Horn Representations and their Characteristic Models.
J. Artif. Intell. Res. (JAIR) 3: 349-372 (1995) |
1994 |
4 | | Roni Khardon,
Dan Roth:
Reasoning with Models.
AAAI 1994: 1148-1153 |
3 | | Roni Khardon,
Dan Roth:
Learning to Reason.
AAAI 1994: 682-687 |
2 | EE | Avrim Blum,
Roni Khardon,
Eyal Kushilevitz,
Leonard Pitt,
Dan Roth:
On Learning Read-k-Satisfy-j DNF.
COLT 1994: 110-117 |
1 | | Roni Khardon:
On Using the Fourier Transform to Learn Disjoint DNF.
Inf. Process. Lett. 49(5): 219-222 (1994) |