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AI
2010
Springer

228views Artificial Intelligence» more AI 2010»

Measuring universal intelligence: Towards an anytime intelligence test

13 years 4 months ago

Download www.csse.monash.edu.au

José Hernández-Orallo, David L. Dowe

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Id	Views	Title	Status

1	228	Measuring universal intelligence: Towards an anytime intelligence test	claim
2	205	Overlap versus Imbalance	claim
3	195	Agent decision-making in open mixed networks	claim
4	191	Kernel functions for case-based planning	claim
5	189	Supervised Machine Learning for Summarizing Legal Documents	claim
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9	170	Improving Multiclass Text Classification with Error-Correcting Output Coding and Sub-class Partitions	claim
10	168	Toward a Gold Standard for Extractive Text Summarization	claim
11	168	Optimal query complexity bounds for finding graphs	claim
12	168	Robust solutions to Stackelberg games: Addressing bounded rationality and limited observations in human cognition	claim
13	166	Soft arc consistency revisited	claim
14	165	On Multi-robot Area Coverage	claim
15	164	Understanding the scalability of Bayesian network inference using clique tree growth curves	claim
16	162	Annotation Concept Synthesis and Enrichment Analysis	claim
17	159	Learning conditional preference networks	claim
18	157	Learning complex action models with quantifiers and logical implications	claim
19	152	A Three-Way Decision Approach to Email Spam Filtering	claim
20	150	Interactive semantics	claim
21	148	Double preference relations for generalised belief change	claim
22	145	Updating action domain descriptions	claim
23	145	Implementing logical connectives in constraint programming	claim
24	140	From the Semantic Web to social machines: A research challenge for AI on the World Wide Web	claim
25	138	Analysis of a probabilistic model of redundancy in unsupervised information extraction	claim
26	137	AllDifferent-based filtering for subgraph isomorphism	claim
27	135	Automatically Expanding the Lexicon of Roget's Thesaurus	claim
28	135	University and Industry Partnership in NLP, Is It Worth the "Trouble"?	claim
29	135	The computational complexity of avoiding spurious states in state space abstraction	claim
30	134	The IMAP Hybrid Method for Learning Gaussian Bayes Nets	claim
31	129	Argumentation-Based Reasoning with Inconsistent Knowledge Bases	claim
32	128	Extended clause learning	claim
33	127	A logic of delegation	claim
34	126	When is it better not to look ahead?	claim
35	125	Score Calibration for Optimal Biometric Identification	claim
36	125	Reasoning under inconsistency: A forgetting-based approach	claim
37	125	Diagnosing multiple intermittent failures using maximum likelihood estimation	claim
38	124	Elicitation strategies for soft constraint problems with missing preferences: Properties, algorithms and experimental studies	claim
39	121	Robustness of Classifiers to Changing Environments	claim
40	119	Hidden semi-Markov models	claim
41	117	On the measure of conflicts: Shapley Inconsistency Values	claim
42	116	Optimizing Advisor Network Size in a Personalized Trust-Modelling Framework for Multi-agent Systems	claim
43	116	Planning to see: A hierarchical approach to planning visual actions on a robot using POMDPs	claim
44	112	Disjunctive merging: Quota and Gmin merging operators	claim
45	110	A logic-based axiomatic model of bargaining	claim
46	109	Solving coalitional resource games	claim
47	104	Compactly representing utility functions using weighted goals and the max aggregator	claim
48	102	Property persistence in the situation calculus	claim

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