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2010 – 2019
- 2017
[c18]Moshe Looks, Marcello Herreshoff, DeLesley Hutchins, Peter Norvig:
Deep Learning with Dynamic Computation Graphs. ICLR (Poster) 2017- [i2]Moshe Looks, Marcello Herreshoff, DeLesley Hutchins, Peter Norvig:
Deep Learning with Dynamic Computation Graphs. CoRR abs/1702.02181 (2017) - 2016
- [i1]Viktoriya Krakovna, Moshe Looks:
A Minimalistic Approach to Sum-Product Network Learning for Real Applications. CoRR abs/1602.04259 (2016) - 2011
- [e1]Jürgen Schmidhuber, Kristinn R. Thórisson, Moshe Looks:
Artificial General Intelligence - 4th International Conference, AGI 2011, Mountain View, CA, USA, August 3-6, 2011. Proceedings. Lecture Notes in Computer Science 6830, Springer 2011, ISBN 978-3-642-22886-5 [contents] - 2010
- [c17]Cassio Pennachin, Moshe Looks, João Antônio de Vasconcelos
:
Robust symbolic regression with affine arithmetic. GECCO 2010: 917-924
2000 – 2009
- 2008
- [c16]Ben Goertzel, Cassio Pennachin, Nil Geisweiller, Moshe Looks, Andre Senna, Welter Silva, Ari Heljakka, Carlos Lopes:
An Integrative Methodology for Teaching Embodied Non-Linguistic Agents, Applied to Virtual Animals in Second Life. AGI 2008: 161-175 - 2007
- [c15]Moshe Looks, Ben Goertzel, Lúcio de Souza Coelho, Mauricio Mudado, Cassio Pennachin:
Clustering gene expression data via mining ensembles of classification rules evolved using moses. GECCO 2007: 407-414 - [c14]Moshe Looks, Ben Goertzel, Lúcio de Souza Coelho, Mauricio Mudado, Cassio Pennachin:
Understanding microarray data through applying competent program evolution. GECCO 2007: 430 - [c13]Moshe Looks:
Scalable estimation-of-distribution program evolution. GECCO 2007: 539-546 - [c12]Moshe Looks:
Meta-optimizing semantic evolutionary search. GECCO 2007: 626 - [c11]Moshe Looks:
On the behavioral diversity of random programs. GECCO 2007: 1636-1642 - 2006
- [c10]Moshe Looks, Ben Goertzel:
Mixing Cognitive Science Concepts with Computer Science Algorithms and Data Structures: An Integrative Approach to Strong AI. AAAI Spring Symposium: Between a Rock and a Hard Place: Cognitive Science Principles Meet AI-Hard Problems 2006: 80-85 - [c9]Moshe Looks:
Program Evolution for General Intelligence. AGI 2006: 125-143 - [c8]Shobana Padmanabhan, Moshe Looks, Dan Legorreta, Young H. Cho, John W. Lockwood:
Hierarchical Clustering using Reconfigurable Devices. FCCM 2006: 327-328 - [c7]Moshe Looks:
Levels of abstraction in modeling and sampling: the feature-based Bayesian optimization algorithm. GECCO 2006: 429-430 - 2005
- [c6]Moshe Looks, Ben Goertzel, Cassio Pennachin:
Learning computer programs with the bayesian optimization algorithm. GECCO 2005: 747-748 - [c5]Weixiong Zhang, Moshe Looks:
A Novel Local Search Algorithm for the Traveling Salesman Problem that Exploits Backbones. IJCAI 2005: 343-350 - [c4]Moshe Looks, Ronald Prescott Loui, Barry Z. Cynamon:
Dynamics of Rule Revision and Strategy Revision in Legislative Games. JURIX 2005: 59-68 - [c3]Moshe Looks, Ronald Prescott Loui:
Game Mechanisms & Procedural Fairness. JURIX 2005: 111-112 - 2004
- [c2]Moshe Looks, Ben Goertzel, Cassio Pennachin:
Novamente: An Integrative Architecture for General Intelligence. AAAI Technical Report (1) 2004: 54-61 - 2003
- [c1]Weixiong Zhang, Ananda Rangan, Moshe Looks:
Backbone Guided Local Search for Maximum Satisfiability. IJCAI 2003: 1179-1186
Coauthor Index
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