IJCAI 1993 - PDF Preprint Papers

IJCAI 1993

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IJCAI
1993

229views Artificial Intelligence» more IJCAI 1993»

Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning

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Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...

Usama M. Fayyad, Keki B. Irani

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Id	Views	Title	Status

1	229	Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning	claim
2	202	Action Representation and Purpose: Re-evaluating the Foundations of Computational Vision	claim
3	176	An Approach to Analyzing the Need for Meta-Level Communication	claim
4	150	Using Inferred Disjunctive Constraints To Decompose Constraint Satisfaction Problems	claim
5	150	A Model-Theoretic Approach to the Verification of Situated Reasoning Systems	claim
6	136	Induction of Oblique Decision Trees	claim
7	135	Representing Concurrent Actions in Extended Logic Programming	claim
8	130	A Collaboration Mechanism on Positive Interactions in Multi-agent Environments	claim
9	129	Learning Decision Lists over Tree Patterns and Its Application	claim
10	128	Fuzzy Causal Simulation in Process Engineering	claim
11	127	Domain Filtering can Degrade Intelligent Backtracking Search	claim
12	123	Statistical Foundations for Default Reasoning	claim
13	123	A New Logical framework for Deductive Planning	claim
14	121	Rule-Based Regression	claim
15	120	Integrating Inductive Neural Network Learning and Explanation-Based Learning	claim
16	115	A Tractable Class of Abduction Problems	claim
17	115	Evolutionary Learning Strategy using Bug-Based Search	claim
18	113	Learning to Coordinate Actions in Multi-Agent-Systems	claim
19	111	AI Models as a Variety of Psychological Explanation	claim
20	111	Anytime Sensing Planning and Action: A Practical Model for Robot Control	claim
21	110	Using Local Information in a Non-Local Way for Mapping Graph-Like Worlds	claim
22	110	Perception and Experience in Problem Solving	claim
23	110	Average-Case Analysis of a Nearest Neighbor Algorithm	claim
24	109	Logical Specification of Real-Time Granular Systems in an Object Oriented Language	claim
25	107	Learning Finite Automata Using Local Distinguishing Experiments	claim
26	107	Verbal Case Frame Acquisition from Bilingual Corpora	claim
27	105	Artificial Thought and Emergent Mind	claim
28	104	Provably Bounded Optimal Agents	claim
29	103	Liveness and Fairness Properties in Multi-Agent Systems	claim
30	103	Multiple Predicate Learning	claim
31	102	A Representationalist Theory of Intention	claim
32	102	Explanation in the Situation Calculus	claim
33	101	A Language for Implementing Arbitrary Logics	claim
34	100	Genetic State-Space Search for Constrained Optimization Problems	claim
35	99	Diagnosing and Solving Over-Determined Constraint Satisfaction Problems	claim
36	98	Constraint Deduction in an Interval-based Temporal Logic	claim
37	96	The Range of Applicability of Nonmonotonic Logics for the Inertia Problem	claim
38	96	Exploiting Domain structure to Achieve Efficient Temporal Reasoning	claim
39	95	Quantifying Beliefs by Belief Functions: An Axiomatic Justification	claim
40	93	The Complexity of Nested Counterfactuals and Iterated Knowledge Base Revisions	claim
41	93	Extending the Resolution Method with Sorts	claim
42	92	Symbolic Revision of Theories with M-of-N Rules	claim
43	92	Orientation and Qualitative Angle for Spatial Reasoning	claim
44	92	Reasoning About Persistence: A Theory of Actions	claim
45	91	On the Polynomial Transparency of Resolution	claim
46	91	An Analytic Learning System for Specializing Heuristics	claim
47	91	A Terminological Logic with Defaults: A Definition and an Application	claim
48	91	A Metalogic Programming Approach to Reasoning about Time in Knowledge Bases	claim
49	90	A Scheme for Agent Collaboration in Open Multiagent Environments	claim
50	90	A Computational Model of Tractable Reasoning - Taking Inspiration from Cognition	claim
51	90	Incorporating Syntactic Constraints in Recognizing Handwritten Sentences	claim
52	90	Second Order Measures for Uncertainty Processing	claim
53	89	Generalization of the Dempster-Shafer Theory	claim
54	89	Computers and Thought Award : Challenges of Massive Parallelism	claim
55	89	Consistency Techniques for Numeric CSPs	claim
56	89	A Domain Theory for Task Oriented Negotiation	claim
57	88	AI Adventures Worth Writing Home About	claim
58	88	Compositional Model-Based Design	claim
59	87	A Parameterised Module System for Constructing Typed Logic Programs	claim
60	87	An Inductive Approach to Learning Search Control Rules for Planning	claim
61	86	Bottom-up Abduction by Model Generation	claim
62	86	A New Algorithm for Incremental Prime Implicate Generation	claim
63	85	The Statistical Learning of Accurate Heuristics	claim
64	85	Reducing Ambiguity by Learning Assembly Specific Behaviour	claim
65	84	Estimating the Accuracy of Learned Concepts	claim
66	84	Automatic Generation of Some Results in Finite Algebra	claim
67	84	Epistemic Extension of Propositional Preference Logics	claim
68	83	HYDRA: A Noise-tolerant Relational Concept Learning Algorithm	claim
69	82	How to Prefer More Specific Defaults in Terminological Default Logic	claim
70	81	Nonmonotonic Model Inference-A Formalization of Student Modeling	claim
71	81	Learning of Resource Allocation Strategies for Game Playing	claim
72	79	Homing Using Combinations of Model Views	claim
73	79	PHI - A Logic-Based Tool for Intelligent Help Systems	claim
74	78	Decidable Reasoning in Terminological Knowledge Representation Systems	claim
75	78	Multi-Agent Planning as a Dynamic Search for Social Consensus	claim
76	78	Syntactic Characterizations of Belief Change Operators	claim
77	78	Critical Reasoning	claim
78	74	Proving Theorems in a Multi-Source Environment	claim
79	74	Notes on Formalizing Context	claim
80	74	Consenting Agents: Negotiation Mechanisms for Multi-Agent Systems	claim
81	71	Automated Trend Detection with Alternate Temporal Hypotheses	claim
82	70	Social Knowledge and Social Action: Heterogeneity in Practice	claim
83	69	Situation Recognition: Representation and Algorithms	claim
84	67	FASTUS: A Finite-state Processor for Information Extraction from Real-world Text	claim
85	67	Specification and Generation of Custom-Tailored Knowledge-Acquisition Tools	claim
86	64	On the Hardness of Approximate Reasoning	claim
87	58	Using Classification as a Programming Language	claim

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